diff --git "a/Road_traffic_severity_classification_prediction.ipynb" "b/Road_traffic_severity_classification_prediction.ipynb"
new file mode 100644--- /dev/null
+++ "b/Road_traffic_severity_classification_prediction.ipynb"
@@ -0,0 +1,6394 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# <span style=\"font-family:cursive;text-align:center\">⬇️ Import Libraries</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "import plotly.express as px\n",
+    "import plotly.offline as py\n",
+    "import plotly.graph_objs as go\n",
+    "import plotly.tools as tls\n",
+    "import plotly.figure_factory as ff\n",
+    "import plotly.io as pio\n",
+    "pio.renderers.default='notebook'\n",
+    "\n",
+    "from collections import Counter\n",
+    "from imblearn.over_sampling import SMOTE\n",
+    "from sklearn.model_selection import cross_val_score, StratifiedKFold, KFold\n",
+    "\n",
+    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
+    "\n",
+    "from sklearn.metrics import (accuracy_score, \n",
+    "                            classification_report,\n",
+    "                            recall_score, precision_score, f1_score,\n",
+    "                            confusion_matrix)\n",
+    "from mlxtend.evaluate import mcnemar_table, mcnemar_tables\n",
+    "from mlxtend.plotting import checkerboard_plot, plot_decision_regions\n",
+    "from xgboost import XGBClassifier\n",
+    "from sklearn.ensemble import ExtraTreesClassifier\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "# from mlxtend.evaluate import bias_variance_decomp\n",
+    "from sklearn.decomposition import PCA\n",
+    "%matplotlib inline\n",
+    "\n",
+    "sns.set_style('darkgrid')\n",
+    "pd. set_option(\"display.max_columns\", None)\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "\n",
+    "# py.init_notebook_mode()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# <span style=\"font-family:cursive;text-align:center\">⬇️ Import Data</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"C:/Users/shiva/Downloads/Data Science Projects/RTA Dataset.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Age_band_of_driver</th>\n",
+       "      <th>Sex_of_driver</th>\n",
+       "      <th>Educational_level</th>\n",
+       "      <th>Vehicle_driver_relation</th>\n",
+       "      <th>Driving_experience</th>\n",
+       "      <th>Type_of_vehicle</th>\n",
+       "      <th>Owner_of_vehicle</th>\n",
+       "      <th>Service_year_of_vehicle</th>\n",
+       "      <th>Defect_of_vehicle</th>\n",
+       "      <th>Area_accident_occured</th>\n",
+       "      <th>Lanes_or_Medians</th>\n",
+       "      <th>Road_allignment</th>\n",
+       "      <th>Types_of_Junction</th>\n",
+       "      <th>Road_surface_type</th>\n",
+       "      <th>Road_surface_conditions</th>\n",
+       "      <th>Light_conditions</th>\n",
+       "      <th>Weather_conditions</th>\n",
+       "      <th>Type_of_collision</th>\n",
+       "      <th>Number_of_vehicles_involved</th>\n",
+       "      <th>Number_of_casualties</th>\n",
+       "      <th>Vehicle_movement</th>\n",
+       "      <th>Casualty_class</th>\n",
+       "      <th>Sex_of_casualty</th>\n",
+       "      <th>Age_band_of_casualty</th>\n",
+       "      <th>Casualty_severity</th>\n",
+       "      <th>Work_of_casuality</th>\n",
+       "      <th>Fitness_of_casuality</th>\n",
+       "      <th>Pedestrian_movement</th>\n",
+       "      <th>Cause_of_accident</th>\n",
+       "      <th>Accident_severity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>17:02:00</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Above high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>1-2yr</td>\n",
+       "      <td>Automobile</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>Above 10yr</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Residential areas</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Collision with roadside-parked vehicles</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Moving Backward</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>17:02:00</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>31-50</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>Above 10yr</td>\n",
+       "      <td>Public (&gt; 45 seats)</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>5-10yrs</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Office areas</td>\n",
+       "      <td>Undivided Two way</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Overtaking</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>17:02:00</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>1-2yr</td>\n",
+       "      <td>Lorry (41?100Q)</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Recreational areas</td>\n",
+       "      <td>other</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Collision with roadside objects</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>Driver or rider</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>31-50</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Changing lane to the left</td>\n",
+       "      <td>Serious Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1:06:00</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>5-10yr</td>\n",
+       "      <td>Public (&gt; 45 seats)</td>\n",
+       "      <td>Governmental</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Office areas</td>\n",
+       "      <td>other</td>\n",
+       "      <td>Tangent road with mild grade and flat terrain</td>\n",
+       "      <td>Y Shape</td>\n",
+       "      <td>Earth roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Darkness - lights lit</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>Pedestrian</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Changing lane to the right</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1:06:00</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>2-5yr</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>5-10yrs</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Industrial areas</td>\n",
+       "      <td>other</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>Y Shape</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Darkness - lights lit</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Overtaking</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Time Day_of_week Age_band_of_driver Sex_of_driver   Educational_level  \\\n",
+       "0  17:02:00      Monday              18-30          Male   Above high school   \n",
+       "1  17:02:00      Monday              31-50          Male  Junior high school   \n",
+       "2  17:02:00      Monday              18-30          Male  Junior high school   \n",
+       "3   1:06:00      Sunday              18-30          Male  Junior high school   \n",
+       "4   1:06:00      Sunday              18-30          Male  Junior high school   \n",
+       "\n",
+       "  Vehicle_driver_relation Driving_experience      Type_of_vehicle  \\\n",
+       "0                Employee              1-2yr           Automobile   \n",
+       "1                Employee         Above 10yr  Public (> 45 seats)   \n",
+       "2                Employee              1-2yr      Lorry (41?100Q)   \n",
+       "3                Employee             5-10yr  Public (> 45 seats)   \n",
+       "4                Employee              2-5yr                  NaN   \n",
+       "\n",
+       "  Owner_of_vehicle Service_year_of_vehicle Defect_of_vehicle  \\\n",
+       "0            Owner              Above 10yr         No defect   \n",
+       "1            Owner                 5-10yrs         No defect   \n",
+       "2            Owner                     NaN         No defect   \n",
+       "3     Governmental                     NaN         No defect   \n",
+       "4            Owner                 5-10yrs         No defect   \n",
+       "\n",
+       "  Area_accident_occured   Lanes_or_Medians  \\\n",
+       "0     Residential areas                NaN   \n",
+       "1          Office areas  Undivided Two way   \n",
+       "2    Recreational areas              other   \n",
+       "3          Office areas              other   \n",
+       "4      Industrial areas              other   \n",
+       "\n",
+       "                                 Road_allignment Types_of_Junction  \\\n",
+       "0                 Tangent road with flat terrain       No junction   \n",
+       "1                 Tangent road with flat terrain       No junction   \n",
+       "2                                            NaN       No junction   \n",
+       "3  Tangent road with mild grade and flat terrain           Y Shape   \n",
+       "4                 Tangent road with flat terrain           Y Shape   \n",
+       "\n",
+       "  Road_surface_type Road_surface_conditions       Light_conditions  \\\n",
+       "0     Asphalt roads                     Dry               Daylight   \n",
+       "1     Asphalt roads                     Dry               Daylight   \n",
+       "2     Asphalt roads                     Dry               Daylight   \n",
+       "3       Earth roads                     Dry  Darkness - lights lit   \n",
+       "4     Asphalt roads                     Dry  Darkness - lights lit   \n",
+       "\n",
+       "  Weather_conditions                        Type_of_collision  \\\n",
+       "0             Normal  Collision with roadside-parked vehicles   \n",
+       "1             Normal           Vehicle with vehicle collision   \n",
+       "2             Normal          Collision with roadside objects   \n",
+       "3             Normal           Vehicle with vehicle collision   \n",
+       "4             Normal           Vehicle with vehicle collision   \n",
+       "\n",
+       "   Number_of_vehicles_involved  Number_of_casualties Vehicle_movement  \\\n",
+       "0                            2                     2   Going straight   \n",
+       "1                            2                     2   Going straight   \n",
+       "2                            2                     2   Going straight   \n",
+       "3                            2                     2   Going straight   \n",
+       "4                            2                     2   Going straight   \n",
+       "\n",
+       "    Casualty_class Sex_of_casualty Age_band_of_casualty Casualty_severity  \\\n",
+       "0               na              na                   na                na   \n",
+       "1               na              na                   na                na   \n",
+       "2  Driver or rider            Male                31-50                 3   \n",
+       "3       Pedestrian          Female                18-30                 3   \n",
+       "4               na              na                   na                na   \n",
+       "\n",
+       "  Work_of_casuality Fitness_of_casuality Pedestrian_movement  \\\n",
+       "0               NaN                  NaN    Not a Pedestrian   \n",
+       "1               NaN                  NaN    Not a Pedestrian   \n",
+       "2            Driver                  NaN    Not a Pedestrian   \n",
+       "3            Driver               Normal    Not a Pedestrian   \n",
+       "4               NaN                  NaN    Not a Pedestrian   \n",
+       "\n",
+       "            Cause_of_accident Accident_severity  \n",
+       "0             Moving Backward     Slight Injury  \n",
+       "1                  Overtaking     Slight Injury  \n",
+       "2   Changing lane to the left    Serious Injury  \n",
+       "3  Changing lane to the right     Slight Injury  \n",
+       "4                  Overtaking     Slight Injury  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Age_band_of_driver</th>\n",
+       "      <th>Sex_of_driver</th>\n",
+       "      <th>Educational_level</th>\n",
+       "      <th>Vehicle_driver_relation</th>\n",
+       "      <th>Driving_experience</th>\n",
+       "      <th>Type_of_vehicle</th>\n",
+       "      <th>Owner_of_vehicle</th>\n",
+       "      <th>Service_year_of_vehicle</th>\n",
+       "      <th>Defect_of_vehicle</th>\n",
+       "      <th>Area_accident_occured</th>\n",
+       "      <th>Lanes_or_Medians</th>\n",
+       "      <th>Road_allignment</th>\n",
+       "      <th>Types_of_Junction</th>\n",
+       "      <th>Road_surface_type</th>\n",
+       "      <th>Road_surface_conditions</th>\n",
+       "      <th>Light_conditions</th>\n",
+       "      <th>Weather_conditions</th>\n",
+       "      <th>Type_of_collision</th>\n",
+       "      <th>Number_of_vehicles_involved</th>\n",
+       "      <th>Number_of_casualties</th>\n",
+       "      <th>Vehicle_movement</th>\n",
+       "      <th>Casualty_class</th>\n",
+       "      <th>Sex_of_casualty</th>\n",
+       "      <th>Age_band_of_casualty</th>\n",
+       "      <th>Casualty_severity</th>\n",
+       "      <th>Work_of_casuality</th>\n",
+       "      <th>Fitness_of_casuality</th>\n",
+       "      <th>Pedestrian_movement</th>\n",
+       "      <th>Cause_of_accident</th>\n",
+       "      <th>Accident_severity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>12311</th>\n",
+       "      <td>16:15:00</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>31-50</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>2-5yr</td>\n",
+       "      <td>Lorry (11?40Q)</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Outside rural areas</td>\n",
+       "      <td>Undivided Two way</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>No distancing</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12312</th>\n",
+       "      <td>18:00:00</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>Unknown</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Elementary school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>5-10yr</td>\n",
+       "      <td>Automobile</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Outside rural areas</td>\n",
+       "      <td>Two-way (divided with broken lines road marking)</td>\n",
+       "      <td>Escarpments</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>No distancing</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12313</th>\n",
+       "      <td>13:55:00</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>Over 51</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>5-10yr</td>\n",
+       "      <td>Bajaj</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>2-5yrs</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Outside rural areas</td>\n",
+       "      <td>Two-way (divided with broken lines road marking)</td>\n",
+       "      <td>Tangent road with mountainous terrain and</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>Driver or rider</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>31-50</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Changing lane to the right</td>\n",
+       "      <td>Serious Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12314</th>\n",
+       "      <td>13:55:00</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>Above 10yr</td>\n",
+       "      <td>Lorry (41?100Q)</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>2-5yrs</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Office areas</td>\n",
+       "      <td>Undivided Two way</td>\n",
+       "      <td>Tangent road with mountainous terrain and</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Darkness - lights lit</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>na</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Driving under the influence of drugs</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12315</th>\n",
+       "      <td>13:55:00</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>5-10yr</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>2-5yrs</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Outside rural areas</td>\n",
+       "      <td>Undivided Two way</td>\n",
+       "      <td>Tangent road with mountainous terrain and</td>\n",
+       "      <td>O Shape</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Darkness - lights lit</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Stopping</td>\n",
+       "      <td>Pedestrian</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Crossing from nearside - masked by parked or s...</td>\n",
+       "      <td>Changing lane to the right</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Time Day_of_week Age_band_of_driver Sex_of_driver  \\\n",
+       "12311  16:15:00   Wednesday              31-50          Male   \n",
+       "12312  18:00:00      Sunday            Unknown          Male   \n",
+       "12313  13:55:00      Sunday            Over 51          Male   \n",
+       "12314  13:55:00      Sunday              18-30        Female   \n",
+       "12315  13:55:00      Sunday              18-30          Male   \n",
+       "\n",
+       "        Educational_level Vehicle_driver_relation Driving_experience  \\\n",
+       "12311                 NaN                Employee              2-5yr   \n",
+       "12312   Elementary school                Employee             5-10yr   \n",
+       "12313  Junior high school                Employee             5-10yr   \n",
+       "12314  Junior high school                Employee         Above 10yr   \n",
+       "12315  Junior high school                Employee             5-10yr   \n",
+       "\n",
+       "       Type_of_vehicle Owner_of_vehicle Service_year_of_vehicle  \\\n",
+       "12311   Lorry (11?40Q)            Owner                     NaN   \n",
+       "12312       Automobile            Owner                     NaN   \n",
+       "12313            Bajaj            Owner                  2-5yrs   \n",
+       "12314  Lorry (41?100Q)            Owner                  2-5yrs   \n",
+       "12315            Other            Owner                  2-5yrs   \n",
+       "\n",
+       "      Defect_of_vehicle Area_accident_occured  \\\n",
+       "12311         No defect   Outside rural areas   \n",
+       "12312         No defect   Outside rural areas   \n",
+       "12313         No defect   Outside rural areas   \n",
+       "12314         No defect          Office areas   \n",
+       "12315         No defect   Outside rural areas   \n",
+       "\n",
+       "                                       Lanes_or_Medians  \\\n",
+       "12311                                 Undivided Two way   \n",
+       "12312  Two-way (divided with broken lines road marking)   \n",
+       "12313  Two-way (divided with broken lines road marking)   \n",
+       "12314                                 Undivided Two way   \n",
+       "12315                                 Undivided Two way   \n",
+       "\n",
+       "                                 Road_allignment Types_of_Junction  \\\n",
+       "12311             Tangent road with flat terrain       No junction   \n",
+       "12312                                Escarpments       No junction   \n",
+       "12313  Tangent road with mountainous terrain and       No junction   \n",
+       "12314  Tangent road with mountainous terrain and       No junction   \n",
+       "12315  Tangent road with mountainous terrain and           O Shape   \n",
+       "\n",
+       "      Road_surface_type Road_surface_conditions       Light_conditions  \\\n",
+       "12311     Asphalt roads                     Dry               Daylight   \n",
+       "12312     Asphalt roads                     Dry               Daylight   \n",
+       "12313     Asphalt roads                     Dry               Daylight   \n",
+       "12314     Asphalt roads                     Dry  Darkness - lights lit   \n",
+       "12315     Asphalt roads                     Dry  Darkness - lights lit   \n",
+       "\n",
+       "      Weather_conditions               Type_of_collision  \\\n",
+       "12311             Normal  Vehicle with vehicle collision   \n",
+       "12312             Normal  Vehicle with vehicle collision   \n",
+       "12313             Normal  Vehicle with vehicle collision   \n",
+       "12314             Normal  Vehicle with vehicle collision   \n",
+       "12315             Normal  Vehicle with vehicle collision   \n",
+       "\n",
+       "       Number_of_vehicles_involved  Number_of_casualties Vehicle_movement  \\\n",
+       "12311                            2                     1   Going straight   \n",
+       "12312                            2                     1            Other   \n",
+       "12313                            1                     1            Other   \n",
+       "12314                            2                     1            Other   \n",
+       "12315                            2                     1         Stopping   \n",
+       "\n",
+       "        Casualty_class Sex_of_casualty Age_band_of_casualty Casualty_severity  \\\n",
+       "12311               na              na                   na                na   \n",
+       "12312               na              na                   na                na   \n",
+       "12313  Driver or rider            Male                31-50                 3   \n",
+       "12314               na              na                   na                na   \n",
+       "12315       Pedestrian          Female                    5                 3   \n",
+       "\n",
+       "      Work_of_casuality Fitness_of_casuality  \\\n",
+       "12311            Driver               Normal   \n",
+       "12312            Driver               Normal   \n",
+       "12313            Driver               Normal   \n",
+       "12314            Driver               Normal   \n",
+       "12315            Driver               Normal   \n",
+       "\n",
+       "                                     Pedestrian_movement  \\\n",
+       "12311                                   Not a Pedestrian   \n",
+       "12312                                   Not a Pedestrian   \n",
+       "12313                                   Not a Pedestrian   \n",
+       "12314                                   Not a Pedestrian   \n",
+       "12315  Crossing from nearside - masked by parked or s...   \n",
+       "\n",
+       "                          Cause_of_accident Accident_severity  \n",
+       "12311                         No distancing     Slight Injury  \n",
+       "12312                         No distancing     Slight Injury  \n",
+       "12313            Changing lane to the right    Serious Injury  \n",
+       "12314  Driving under the influence of drugs     Slight Injury  \n",
+       "12315            Changing lane to the right     Slight Injury  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Age_band_of_driver</th>\n",
+       "      <th>Sex_of_driver</th>\n",
+       "      <th>Educational_level</th>\n",
+       "      <th>Vehicle_driver_relation</th>\n",
+       "      <th>Driving_experience</th>\n",
+       "      <th>Type_of_vehicle</th>\n",
+       "      <th>Owner_of_vehicle</th>\n",
+       "      <th>Service_year_of_vehicle</th>\n",
+       "      <th>Defect_of_vehicle</th>\n",
+       "      <th>Area_accident_occured</th>\n",
+       "      <th>Lanes_or_Medians</th>\n",
+       "      <th>Road_allignment</th>\n",
+       "      <th>Types_of_Junction</th>\n",
+       "      <th>Road_surface_type</th>\n",
+       "      <th>Road_surface_conditions</th>\n",
+       "      <th>Light_conditions</th>\n",
+       "      <th>Weather_conditions</th>\n",
+       "      <th>Type_of_collision</th>\n",
+       "      <th>Number_of_vehicles_involved</th>\n",
+       "      <th>Number_of_casualties</th>\n",
+       "      <th>Vehicle_movement</th>\n",
+       "      <th>Casualty_class</th>\n",
+       "      <th>Sex_of_casualty</th>\n",
+       "      <th>Age_band_of_casualty</th>\n",
+       "      <th>Casualty_severity</th>\n",
+       "      <th>Work_of_casuality</th>\n",
+       "      <th>Fitness_of_casuality</th>\n",
+       "      <th>Pedestrian_movement</th>\n",
+       "      <th>Cause_of_accident</th>\n",
+       "      <th>Accident_severity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1216</th>\n",
+       "      <td>10:05:00</td>\n",
+       "      <td>Thursday</td>\n",
+       "      <td>31-50</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>2-5yr</td>\n",
+       "      <td>Lorry (41?100Q)</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>Undivided Two way</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Moving Backward</td>\n",
+       "      <td>Driver or rider</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Over 51</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5717</th>\n",
+       "      <td>9:50:00</td>\n",
+       "      <td>Tuesday</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Elementary school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>1-2yr</td>\n",
+       "      <td>Public (13?45 seats)</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Office areas</td>\n",
+       "      <td>Two-way (divided with broken lines road marking)</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>Y Shape</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>Cloudy</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>Driver or rider</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>31-50</td>\n",
+       "      <td>3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>Changing lane to the right</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9221</th>\n",
+       "      <td>18:20:00</td>\n",
+       "      <td>Tuesday</td>\n",
+       "      <td>Unknown</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>Below 1yr</td>\n",
+       "      <td>Automobile</td>\n",
+       "      <td>Governmental</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>School areas</td>\n",
+       "      <td>Undivided Two way</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>No junction</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>Wet or damp</td>\n",
+       "      <td>Darkness - lights lit</td>\n",
+       "      <td>Windy</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>Driver or rider</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>31-50</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Self-employed</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>No distancing</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Time Day_of_week Age_band_of_driver Sex_of_driver  \\\n",
+       "1216  10:05:00    Thursday              31-50          Male   \n",
+       "5717   9:50:00     Tuesday              18-30          Male   \n",
+       "9221  18:20:00     Tuesday            Unknown        Female   \n",
+       "\n",
+       "       Educational_level Vehicle_driver_relation Driving_experience  \\\n",
+       "1216  Junior high school                Employee              2-5yr   \n",
+       "5717   Elementary school                Employee              1-2yr   \n",
+       "9221  Junior high school                Employee          Below 1yr   \n",
+       "\n",
+       "           Type_of_vehicle Owner_of_vehicle Service_year_of_vehicle  \\\n",
+       "1216       Lorry (41?100Q)            Owner                     NaN   \n",
+       "5717  Public (13?45 seats)              NaN                     NaN   \n",
+       "9221            Automobile     Governmental                     NaN   \n",
+       "\n",
+       "     Defect_of_vehicle Area_accident_occured  \\\n",
+       "1216         No defect                 Other   \n",
+       "5717               NaN          Office areas   \n",
+       "9221         No defect          School areas   \n",
+       "\n",
+       "                                      Lanes_or_Medians  \\\n",
+       "1216                                 Undivided Two way   \n",
+       "5717  Two-way (divided with broken lines road marking)   \n",
+       "9221                                 Undivided Two way   \n",
+       "\n",
+       "                     Road_allignment Types_of_Junction Road_surface_type  \\\n",
+       "1216  Tangent road with flat terrain       No junction     Asphalt roads   \n",
+       "5717  Tangent road with flat terrain           Y Shape               NaN   \n",
+       "9221  Tangent road with flat terrain       No junction     Asphalt roads   \n",
+       "\n",
+       "     Road_surface_conditions       Light_conditions Weather_conditions  \\\n",
+       "1216                     Dry               Daylight             Normal   \n",
+       "5717                     Dry               Daylight             Cloudy   \n",
+       "9221             Wet or damp  Darkness - lights lit              Windy   \n",
+       "\n",
+       "                   Type_of_collision  Number_of_vehicles_involved  \\\n",
+       "1216  Vehicle with vehicle collision                            2   \n",
+       "5717  Vehicle with vehicle collision                            1   \n",
+       "9221  Vehicle with vehicle collision                            1   \n",
+       "\n",
+       "      Number_of_casualties Vehicle_movement   Casualty_class Sex_of_casualty  \\\n",
+       "1216                     1  Moving Backward  Driver or rider            Male   \n",
+       "5717                     2   Going straight  Driver or rider            Male   \n",
+       "9221                     1   Going straight  Driver or rider          Female   \n",
+       "\n",
+       "     Age_band_of_casualty Casualty_severity Work_of_casuality  \\\n",
+       "1216              Over 51                 3            Driver   \n",
+       "5717                31-50                 3               NaN   \n",
+       "9221                31-50                 3     Self-employed   \n",
+       "\n",
+       "     Fitness_of_casuality Pedestrian_movement           Cause_of_accident  \\\n",
+       "1216               Normal    Not a Pedestrian                       Other   \n",
+       "5717                  NaN    Not a Pedestrian  Changing lane to the right   \n",
+       "9221               Normal    Not a Pedestrian               No distancing   \n",
+       "\n",
+       "     Accident_severity  \n",
+       "1216     Slight Injury  \n",
+       "5717     Slight Injury  \n",
+       "9221     Slight Injury  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sample(3)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# <span style=\"font-family:cursive;text-align:center\">📊 Exploratory Data Analysis</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(12316, 32)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Time', 'Day_of_week', 'Age_band_of_driver', 'Sex_of_driver',\n",
+       "       'Educational_level', 'Vehicle_driver_relation', 'Driving_experience',\n",
+       "       'Type_of_vehicle', 'Owner_of_vehicle', 'Service_year_of_vehicle',\n",
+       "       'Defect_of_vehicle', 'Area_accident_occured', 'Lanes_or_Medians',\n",
+       "       'Road_allignment', 'Types_of_Junction', 'Road_surface_type',\n",
+       "       'Road_surface_conditions', 'Light_conditions', 'Weather_conditions',\n",
+       "       'Type_of_collision', 'Number_of_vehicles_involved',\n",
+       "       'Number_of_casualties', 'Vehicle_movement', 'Casualty_class',\n",
+       "       'Sex_of_casualty', 'Age_band_of_casualty', 'Casualty_severity',\n",
+       "       'Work_of_casuality', 'Fitness_of_casuality', 'Pedestrian_movement',\n",
+       "       'Cause_of_accident', 'Accident_severity'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "col_map={\n",
+    "    'Time': 'time',\n",
+    "    'Day_of_week': 'day_of_week',\n",
+    "    'Age_band_of_driver': 'driver_age',\n",
+    "    'Sex_of_driver': 'driver_sex',\n",
+    "    'Educational_level': 'educational_level',\n",
+    "    'Vehicle_driver_relation': 'vehicle_driver_relation',\n",
+    "    'Driving_experience': 'driving_experience',\n",
+    "    'Type_of_vehicle': 'vehicle_type',\n",
+    "    'Owner_of_vehicle': 'vehicle_owner',\n",
+    "    'Service_year_of_vehicle': 'service_year',\n",
+    "    'Defect_of_vehicle': 'vehicle_defect',\n",
+    "    'Area_accident_occured': 'accident_area',\n",
+    "    'Lanes_or_Medians': 'lanes',\n",
+    "    'Road_allignment': 'road_allignment',\n",
+    "    'Types_of_Junction': 'junction_type',\n",
+    "    'Road_surface_type': 'surface_type',\n",
+    "    'Road_surface_conditions': 'road_surface_conditions',\n",
+    "    'Light_conditions': 'light_condition',\n",
+    "    'Weather_conditions': 'weather_condition',\n",
+    "    'Type_of_collision': 'collision_type',\n",
+    "    'Number_of_vehicles_involved': 'vehicles_involved',\n",
+    "    'Number_of_casualties': 'casualties',\n",
+    "    'Vehicle_movement': 'vehicle_movement',\n",
+    "    'Casualty_class': 'casualty_class',\n",
+    "    'Sex_of_casualty': 'casualty_sex' , \n",
+    "    'Age_band_of_casualty': 'casualty_age', \n",
+    "    'Casualty_severity': 'casualty_severity',\n",
+    "    'Work_of_casuality': 'casualty_work', \n",
+    "    'Fitness_of_casuality': 'casualty_fitness',\n",
+    "    'Pedestrian_movement': 'pedestrian_movement',\n",
+    "    'Cause_of_accident': 'accident_cause',\n",
+    "    'Accident_severity': 'accident_severity'\n",
+    "}\n",
+    "df.rename(columns=col_map, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 12316 entries, 0 to 12315\n",
+      "Data columns (total 32 columns):\n",
+      " #   Column                   Non-Null Count  Dtype \n",
+      "---  ------                   --------------  ----- \n",
+      " 0   time                     12316 non-null  object\n",
+      " 1   day_of_week              12316 non-null  object\n",
+      " 2   driver_age               12316 non-null  object\n",
+      " 3   driver_sex               12316 non-null  object\n",
+      " 4   educational_level        11575 non-null  object\n",
+      " 5   vehicle_driver_relation  11737 non-null  object\n",
+      " 6   driving_experience       11487 non-null  object\n",
+      " 7   vehicle_type             11366 non-null  object\n",
+      " 8   vehicle_owner            11834 non-null  object\n",
+      " 9   service_year             8388 non-null   object\n",
+      " 10  vehicle_defect           7889 non-null   object\n",
+      " 11  accident_area            12077 non-null  object\n",
+      " 12  lanes                    11931 non-null  object\n",
+      " 13  road_allignment          12174 non-null  object\n",
+      " 14  junction_type            11429 non-null  object\n",
+      " 15  surface_type             12144 non-null  object\n",
+      " 16  road_surface_conditions  12316 non-null  object\n",
+      " 17  light_condition          12316 non-null  object\n",
+      " 18  weather_condition        12316 non-null  object\n",
+      " 19  collision_type           12161 non-null  object\n",
+      " 20  vehicles_involved        12316 non-null  int64 \n",
+      " 21  casualties               12316 non-null  int64 \n",
+      " 22  vehicle_movement         12008 non-null  object\n",
+      " 23  casualty_class           12316 non-null  object\n",
+      " 24  casualty_sex             12316 non-null  object\n",
+      " 25  casualty_age             12316 non-null  object\n",
+      " 26  casualty_severity        12316 non-null  object\n",
+      " 27  casualty_work            9118 non-null   object\n",
+      " 28  casualty_fitness         9681 non-null   object\n",
+      " 29  pedestrian_movement      12316 non-null  object\n",
+      " 30  accident_cause           12316 non-null  object\n",
+      " 31  accident_severity        12316 non-null  object\n",
+      "dtypes: int64(2), object(30)\n",
+      "memory usage: 3.0+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>vehicles_involved</th>\n",
+       "      <th>casualties</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>12316.000000</td>\n",
+       "      <td>12316.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>2.040679</td>\n",
+       "      <td>1.548149</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.688790</td>\n",
+       "      <td>1.007179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>8.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       vehicles_involved    casualties\n",
+       "count       12316.000000  12316.000000\n",
+       "mean            2.040679      1.548149\n",
+       "std             0.688790      1.007179\n",
+       "min             1.000000      1.000000\n",
+       "25%             2.000000      1.000000\n",
+       "50%             2.000000      1.000000\n",
+       "75%             2.000000      2.000000\n",
+       "max             7.000000      8.000000"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>unique</th>\n",
+       "      <th>top</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>time</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>1074</td>\n",
+       "      <td>15:30:00</td>\n",
+       "      <td>120</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>day_of_week</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>2041</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>driver_age</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>5</td>\n",
+       "      <td>18-30</td>\n",
+       "      <td>4271</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>driver_sex</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>11437</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>educational_level</th>\n",
+       "      <td>11575</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Junior high school</td>\n",
+       "      <td>7619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>vehicle_driver_relation</th>\n",
+       "      <td>11737</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Employee</td>\n",
+       "      <td>9627</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>driving_experience</th>\n",
+       "      <td>11487</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5-10yr</td>\n",
+       "      <td>3363</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>vehicle_type</th>\n",
+       "      <td>11366</td>\n",
+       "      <td>17</td>\n",
+       "      <td>Automobile</td>\n",
+       "      <td>3205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>vehicle_owner</th>\n",
+       "      <td>11834</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Owner</td>\n",
+       "      <td>10459</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>service_year</th>\n",
+       "      <td>8388</td>\n",
+       "      <td>6</td>\n",
+       "      <td>Unknown</td>\n",
+       "      <td>2883</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>vehicle_defect</th>\n",
+       "      <td>7889</td>\n",
+       "      <td>3</td>\n",
+       "      <td>No defect</td>\n",
+       "      <td>7777</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>accident_area</th>\n",
+       "      <td>12077</td>\n",
+       "      <td>14</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>3819</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>lanes</th>\n",
+       "      <td>11931</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Two-way (divided with broken lines road marking)</td>\n",
+       "      <td>4411</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>road_allignment</th>\n",
+       "      <td>12174</td>\n",
+       "      <td>9</td>\n",
+       "      <td>Tangent road with flat terrain</td>\n",
+       "      <td>10459</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>junction_type</th>\n",
+       "      <td>11429</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Y Shape</td>\n",
+       "      <td>4543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>surface_type</th>\n",
+       "      <td>12144</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Asphalt roads</td>\n",
+       "      <td>11296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>road_surface_conditions</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Dry</td>\n",
+       "      <td>9340</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>light_condition</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Daylight</td>\n",
+       "      <td>8798</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>weather_condition</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>9</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>10063</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>collision_type</th>\n",
+       "      <td>12161</td>\n",
+       "      <td>10</td>\n",
+       "      <td>Vehicle with vehicle collision</td>\n",
+       "      <td>8774</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>vehicle_movement</th>\n",
+       "      <td>12008</td>\n",
+       "      <td>13</td>\n",
+       "      <td>Going straight</td>\n",
+       "      <td>8158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>casualty_class</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Driver or rider</td>\n",
+       "      <td>4944</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>casualty_sex</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>5253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>casualty_age</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>6</td>\n",
+       "      <td>na</td>\n",
+       "      <td>4443</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>casualty_severity</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7076</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>casualty_work</th>\n",
+       "      <td>9118</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Driver</td>\n",
+       "      <td>5903</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>casualty_fitness</th>\n",
+       "      <td>9681</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>9608</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pedestrian_movement</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>9</td>\n",
+       "      <td>Not a Pedestrian</td>\n",
+       "      <td>11390</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>accident_cause</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>20</td>\n",
+       "      <td>No distancing</td>\n",
+       "      <td>2263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>accident_severity</th>\n",
+       "      <td>12316</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "      <td>10415</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                         count unique  \\\n",
+       "time                     12316   1074   \n",
+       "day_of_week              12316      7   \n",
+       "driver_age               12316      5   \n",
+       "driver_sex               12316      3   \n",
+       "educational_level        11575      7   \n",
+       "vehicle_driver_relation  11737      4   \n",
+       "driving_experience       11487      7   \n",
+       "vehicle_type             11366     17   \n",
+       "vehicle_owner            11834      4   \n",
+       "service_year              8388      6   \n",
+       "vehicle_defect            7889      3   \n",
+       "accident_area            12077     14   \n",
+       "lanes                    11931      7   \n",
+       "road_allignment          12174      9   \n",
+       "junction_type            11429      8   \n",
+       "surface_type             12144      5   \n",
+       "road_surface_conditions  12316      4   \n",
+       "light_condition          12316      4   \n",
+       "weather_condition        12316      9   \n",
+       "collision_type           12161     10   \n",
+       "vehicle_movement         12008     13   \n",
+       "casualty_class           12316      4   \n",
+       "casualty_sex             12316      3   \n",
+       "casualty_age             12316      6   \n",
+       "casualty_severity        12316      4   \n",
+       "casualty_work             9118      7   \n",
+       "casualty_fitness          9681      5   \n",
+       "pedestrian_movement      12316      9   \n",
+       "accident_cause           12316     20   \n",
+       "accident_severity        12316      3   \n",
+       "\n",
+       "                                                                      top  \\\n",
+       "time                                                             15:30:00   \n",
+       "day_of_week                                                        Friday   \n",
+       "driver_age                                                          18-30   \n",
+       "driver_sex                                                           Male   \n",
+       "educational_level                                      Junior high school   \n",
+       "vehicle_driver_relation                                          Employee   \n",
+       "driving_experience                                                 5-10yr   \n",
+       "vehicle_type                                                   Automobile   \n",
+       "vehicle_owner                                                       Owner   \n",
+       "service_year                                                      Unknown   \n",
+       "vehicle_defect                                                  No defect   \n",
+       "accident_area                                                       Other   \n",
+       "lanes                    Two-way (divided with broken lines road marking)   \n",
+       "road_allignment                            Tangent road with flat terrain   \n",
+       "junction_type                                                     Y Shape   \n",
+       "surface_type                                                Asphalt roads   \n",
+       "road_surface_conditions                                               Dry   \n",
+       "light_condition                                                  Daylight   \n",
+       "weather_condition                                                  Normal   \n",
+       "collision_type                             Vehicle with vehicle collision   \n",
+       "vehicle_movement                                           Going straight   \n",
+       "casualty_class                                            Driver or rider   \n",
+       "casualty_sex                                                         Male   \n",
+       "casualty_age                                                           na   \n",
+       "casualty_severity                                                       3   \n",
+       "casualty_work                                                      Driver   \n",
+       "casualty_fitness                                                   Normal   \n",
+       "pedestrian_movement                                      Not a Pedestrian   \n",
+       "accident_cause                                              No distancing   \n",
+       "accident_severity                                           Slight Injury   \n",
+       "\n",
+       "                          freq  \n",
+       "time                       120  \n",
+       "day_of_week               2041  \n",
+       "driver_age                4271  \n",
+       "driver_sex               11437  \n",
+       "educational_level         7619  \n",
+       "vehicle_driver_relation   9627  \n",
+       "driving_experience        3363  \n",
+       "vehicle_type              3205  \n",
+       "vehicle_owner            10459  \n",
+       "service_year              2883  \n",
+       "vehicle_defect            7777  \n",
+       "accident_area             3819  \n",
+       "lanes                     4411  \n",
+       "road_allignment          10459  \n",
+       "junction_type             4543  \n",
+       "surface_type             11296  \n",
+       "road_surface_conditions   9340  \n",
+       "light_condition           8798  \n",
+       "weather_condition        10063  \n",
+       "collision_type            8774  \n",
+       "vehicle_movement          8158  \n",
+       "casualty_class            4944  \n",
+       "casualty_sex              5253  \n",
+       "casualty_age              4443  \n",
+       "casualty_severity         7076  \n",
+       "casualty_work             5903  \n",
+       "casualty_fitness          9608  \n",
+       "pedestrian_movement      11390  \n",
+       "accident_cause            2263  \n",
+       "accident_severity        10415  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe(include = ['O']).T # to include categorical columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time                          0\n",
+       "day_of_week                   0\n",
+       "driver_age                    0\n",
+       "driver_sex                    0\n",
+       "educational_level           741\n",
+       "vehicle_driver_relation     579\n",
+       "driving_experience          829\n",
+       "vehicle_type                950\n",
+       "vehicle_owner               482\n",
+       "service_year               3928\n",
+       "vehicle_defect             4427\n",
+       "accident_area               239\n",
+       "lanes                       385\n",
+       "road_allignment             142\n",
+       "junction_type               887\n",
+       "surface_type                172\n",
+       "road_surface_conditions       0\n",
+       "light_condition               0\n",
+       "weather_condition             0\n",
+       "collision_type              155\n",
+       "vehicles_involved             0\n",
+       "casualties                    0\n",
+       "vehicle_movement            308\n",
+       "casualty_class                0\n",
+       "casualty_sex                  0\n",
+       "casualty_age                  0\n",
+       "casualty_severity             0\n",
+       "casualty_work              3198\n",
+       "casualty_fitness           2635\n",
+       "pedestrian_movement           0\n",
+       "accident_cause                0\n",
+       "accident_severity             0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isna().sum() # to get total counts of missing values in columns."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "number of duplicate:  0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"number of duplicate: \", df.duplicated().sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Unique values per columns:  time                       1074\n",
+      "day_of_week                   7\n",
+      "driver_age                    5\n",
+      "driver_sex                    3\n",
+      "educational_level             7\n",
+      "vehicle_driver_relation       4\n",
+      "driving_experience            7\n",
+      "vehicle_type                 17\n",
+      "vehicle_owner                 4\n",
+      "service_year                  6\n",
+      "vehicle_defect                3\n",
+      "accident_area                14\n",
+      "lanes                         7\n",
+      "road_allignment               9\n",
+      "junction_type                 8\n",
+      "surface_type                  5\n",
+      "road_surface_conditions       4\n",
+      "light_condition               4\n",
+      "weather_condition             9\n",
+      "collision_type               10\n",
+      "vehicles_involved             6\n",
+      "casualties                    8\n",
+      "vehicle_movement             13\n",
+      "casualty_class                4\n",
+      "casualty_sex                  3\n",
+      "casualty_age                  6\n",
+      "casualty_severity             4\n",
+      "casualty_work                 7\n",
+      "casualty_fitness              5\n",
+      "pedestrian_movement           9\n",
+      "accident_cause               20\n",
+      "accident_severity             3\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Unique values per columns: \", df.nunique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Unique values in time:\n",
+      "['17:02:00' '1:06:00' '14:15:00' ... '7:24:00' '19:18:00' '2:47:00'] \n",
+      "\n",
+      "Unique values in day_of_week:\n",
+      "['Monday' 'Sunday' 'Friday' 'Wednesday' 'Saturday' 'Thursday' 'Tuesday'] \n",
+      "\n",
+      "Unique values in driver_age:\n",
+      "['18-30' '31-50' 'Under 18' 'Over 51' 'Unknown'] \n",
+      "\n",
+      "Unique values in driver_sex:\n",
+      "['Male' 'Female' 'Unknown'] \n",
+      "\n",
+      "Unique values in educational_level:\n",
+      "['Above high school' 'Junior high school' nan 'Elementary school'\n",
+      " 'High school' 'Unknown' 'Illiterate' 'Writing & reading'] \n",
+      "\n",
+      "Unique values in vehicle_driver_relation:\n",
+      "['Employee' 'Unknown' 'Owner' nan 'Other'] \n",
+      "\n",
+      "Unique values in driving_experience:\n",
+      "['1-2yr' 'Above 10yr' '5-10yr' '2-5yr' nan 'No Licence' 'Below 1yr'\n",
+      " 'unknown'] \n",
+      "\n",
+      "Unique values in vehicle_type:\n",
+      "['Automobile' 'Public (> 45 seats)' 'Lorry (41?100Q)' nan\n",
+      " 'Public (13?45 seats)' 'Lorry (11?40Q)' 'Long lorry' 'Public (12 seats)'\n",
+      " 'Taxi' 'Pick up upto 10Q' 'Stationwagen' 'Ridden horse' 'Other' 'Bajaj'\n",
+      " 'Turbo' 'Motorcycle' 'Special vehicle' 'Bicycle'] \n",
+      "\n",
+      "Unique values in vehicle_owner:\n",
+      "['Owner' 'Governmental' nan 'Organization' 'Other'] \n",
+      "\n",
+      "Unique values in service_year:\n",
+      "['Above 10yr' '5-10yrs' nan '1-2yr' '2-5yrs' 'Unknown' 'Below 1yr'] \n",
+      "\n",
+      "Unique values in vehicle_defect:\n",
+      "['No defect' nan '7' '5'] \n",
+      "\n",
+      "Unique values in accident_area:\n",
+      "['Residential areas' 'Office areas' '  Recreational areas'\n",
+      " ' Industrial areas' nan 'Other' ' Church areas' '  Market areas'\n",
+      " 'Unknown' 'Rural village areas' ' Outside rural areas' ' Hospital areas'\n",
+      " 'School areas' 'Rural village areasOffice areas' 'Recreational areas'] \n",
+      "\n",
+      "Unique values in lanes:\n",
+      "[nan 'Undivided Two way' 'other' 'Double carriageway (median)' 'One way'\n",
+      " 'Two-way (divided with solid lines road marking)'\n",
+      " 'Two-way (divided with broken lines road marking)' 'Unknown'] \n",
+      "\n",
+      "Unique values in road_allignment:\n",
+      "['Tangent road with flat terrain' nan\n",
+      " 'Tangent road with mild grade and flat terrain' 'Escarpments'\n",
+      " 'Tangent road with rolling terrain' 'Gentle horizontal curve'\n",
+      " 'Tangent road with mountainous terrain and'\n",
+      " 'Steep grade downward with mountainous terrain' 'Sharp reverse curve'\n",
+      " 'Steep grade upward with mountainous terrain'] \n",
+      "\n",
+      "Unique values in junction_type:\n",
+      "['No junction' 'Y Shape' 'Crossing' 'O Shape' 'Other' 'Unknown' 'T Shape'\n",
+      " 'X Shape' nan] \n",
+      "\n",
+      "Unique values in surface_type:\n",
+      "['Asphalt roads' 'Earth roads' nan 'Asphalt roads with some distress'\n",
+      " 'Gravel roads' 'Other'] \n",
+      "\n",
+      "Unique values in road_surface_conditions:\n",
+      "['Dry' 'Wet or damp' 'Snow' 'Flood over 3cm. deep'] \n",
+      "\n",
+      "Unique values in light_condition:\n",
+      "['Daylight' 'Darkness - lights lit' 'Darkness - no lighting'\n",
+      " 'Darkness - lights unlit'] \n",
+      "\n",
+      "Unique values in weather_condition:\n",
+      "['Normal' 'Raining' 'Raining and Windy' 'Cloudy' 'Other' 'Windy' 'Snow'\n",
+      " 'Unknown' 'Fog or mist'] \n",
+      "\n",
+      "Unique values in collision_type:\n",
+      "['Collision with roadside-parked vehicles'\n",
+      " 'Vehicle with vehicle collision' 'Collision with roadside objects'\n",
+      " 'Collision with animals' 'Other' 'Rollover' 'Fall from vehicles'\n",
+      " 'Collision with pedestrians' 'With Train' 'Unknown' nan] \n",
+      "\n",
+      "Unique values in vehicles_involved:\n",
+      "[2 1 3 6 4 7] \n",
+      "\n",
+      "Unique values in casualties:\n",
+      "[2 1 3 4 6 5 8 7] \n",
+      "\n",
+      "Unique values in vehicle_movement:\n",
+      "['Going straight' 'U-Turn' 'Moving Backward' 'Turnover' 'Waiting to go'\n",
+      " 'Getting off' 'Reversing' 'Unknown' 'Parked' 'Stopping' 'Overtaking'\n",
+      " 'Other' 'Entering a junction' nan] \n",
+      "\n",
+      "Unique values in casualty_class:\n",
+      "['na' 'Driver or rider' 'Pedestrian' 'Passenger'] \n",
+      "\n",
+      "Unique values in casualty_sex:\n",
+      "['na' 'Male' 'Female'] \n",
+      "\n",
+      "Unique values in casualty_age:\n",
+      "['na' '31-50' '18-30' 'Under 18' 'Over 51' '5'] \n",
+      "\n",
+      "Unique values in casualty_severity:\n",
+      "['na' '3' '2' '1'] \n",
+      "\n",
+      "Unique values in casualty_work:\n",
+      "[nan 'Driver' 'Other' 'Unemployed' 'Employee' 'Self-employed' 'Student'\n",
+      " 'Unknown'] \n",
+      "\n",
+      "Unique values in casualty_fitness:\n",
+      "[nan 'Normal' 'Deaf' 'Other' 'Blind' 'NormalNormal'] \n",
+      "\n",
+      "Unique values in pedestrian_movement:\n",
+      "['Not a Pedestrian' \"Crossing from driver's nearside\"\n",
+      " 'Crossing from nearside - masked by parked or statioNot a Pedestrianry vehicle'\n",
+      " 'Unknown or other'\n",
+      " 'Crossing from offside - masked by  parked or statioNot a Pedestrianry vehicle'\n",
+      " 'In carriageway, statioNot a Pedestrianry - not crossing  (standing or playing)'\n",
+      " 'Walking along in carriageway, back to traffic'\n",
+      " 'Walking along in carriageway, facing traffic'\n",
+      " 'In carriageway, statioNot a Pedestrianry - not crossing  (standing or playing) - masked by parked or statioNot a Pedestrianry vehicle'] \n",
+      "\n",
+      "Unique values in accident_cause:\n",
+      "['Moving Backward' 'Overtaking' 'Changing lane to the left'\n",
+      " 'Changing lane to the right' 'Overloading' 'Other'\n",
+      " 'No priority to vehicle' 'No priority to pedestrian' 'No distancing'\n",
+      " 'Getting off the vehicle improperly' 'Improper parking' 'Overspeed'\n",
+      " 'Driving carelessly' 'Driving at high speed' 'Driving to the left'\n",
+      " 'Unknown' 'Overturning' 'Turnover' 'Driving under the influence of drugs'\n",
+      " 'Drunk driving'] \n",
+      "\n",
+      "Unique values in accident_severity:\n",
+      "['Slight Injury' 'Serious Injury' 'Fatal injury'] \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in df.columns:\n",
+    "    print(f\"Unique values in {i}:\")\n",
+    "    print(df[i].unique(),'\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# checking the target\n",
+    "plt.figure(figsize=(14,7))\n",
+    "# barplot\n",
+    "ax1 = plt.subplot(1,2,1)\n",
+    "cp = sns.countplot(x=df[\"accident_severity\"])\n",
+    "ax1.set_xlabel(\" \")\n",
+    "ax1.set_ylabel(\" \")\n",
+    "plt.xticks(fontsize=14)\n",
+    "plt.yticks(fontsize=14)\n",
+    "sns.despine(top=True, right=True)\n",
+    "# pieplot\n",
+    "ax2 = plt.subplot(1,2,2)\n",
+    "plt.pie(df[\"accident_severity\"].value_counts(),\n",
+    "        labels=list(df[\"accident_severity\"].unique()),\n",
+    "        autopct='%1.2f%%',\n",
+    "        pctdistance=0.8,\n",
+    "        shadow=True,\n",
+    "        radius=1.3,\n",
+    "        textprops={'fontsize':14}\n",
+    "        )\n",
+    "ax2.set_xlabel(\" \")\n",
+    "plt.xlabel('Composition of \"Accident Severity\"', fontsize=15, labelpad=20)\n",
+    "plt.subplots_adjust(wspace=0.4)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        requirejs.config({\n",
+       "            paths: {\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-2.20.0.min']\n",
+       "            }\n",
+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "linkText": "Export to plot.ly",
+        "plotlyServerURL": "https://plot.ly",
+        "showLink": false
+       },
+       "data": [
+        {
+         "branchvalues": "total",
+         "domain": {
+          "x": [
+           0,
+           1
+          ],
+          "y": [
+           0,
+           1
+          ]
+         },
+         "hovertemplate": "labels=%{label}<br>count=%{value}<br>parent=%{parent}<br>id=%{id}<extra></extra>",
+         "ids": [
+          "Changing lane to the left",
+          "Changing lane to the right",
+          "Driving at high speed",
+          "Driving carelessly",
+          "Driving to the left",
+          "Driving under the influence of drugs",
+          "Drunk driving",
+          "Getting off the vehicle improperly",
+          "Improper parking",
+          "Moving Backward",
+          "No distancing",
+          "No priority to pedestrian",
+          "No priority to vehicle",
+          "Other",
+          "Overloading",
+          "Overspeed",
+          "Overtaking",
+          "Overturning",
+          "Turnover",
+          "Unknown"
+         ],
+         "labels": [
+          "Changing lane to the left",
+          "Changing lane to the right",
+          "Driving at high speed",
+          "Driving carelessly",
+          "Driving to the left",
+          "Driving under the influence of drugs",
+          "Drunk driving",
+          "Getting off the vehicle improperly",
+          "Improper parking",
+          "Moving Backward",
+          "No distancing",
+          "No priority to pedestrian",
+          "No priority to vehicle",
+          "Other",
+          "Overloading",
+          "Overspeed",
+          "Overtaking",
+          "Overturning",
+          "Turnover",
+          "Unknown"
+         ],
+         "name": "",
+         "parents": [
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          "",
+          ""
+         ],
+         "type": "treemap",
+         "values": [
+          1473,
+          1808,
+          174,
+          1402,
+          284,
+          340,
+          27,
+          197,
+          25,
+          1137,
+          2263,
+          721,
+          1207,
+          456,
+          59,
+          61,
+          430,
+          149,
+          78,
+          25
+         ]
+        }
+       ],
+       "layout": {
+        "height": 400,
+        "legend": {
+         "tracegroupgap": 0
+        },
+        "margin": {
+         "b": 25,
+         "l": 25,
+         "r": 25,
+         "t": 50
+        },
+        "template": {
+         "data": {
+          "bar": [
+           {
+            "error_x": {
+             "color": "#2a3f5f"
+            },
+            "error_y": {
+             "color": "#2a3f5f"
+            },
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "bar"
+           }
+          ],
+          "barpolar": [
+           {
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "barpolar"
+           }
+          ],
+          "carpet": [
+           {
+            "aaxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "baxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "type": "carpet"
+           }
+          ],
+          "choropleth": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "choropleth"
+           }
+          ],
+          "contour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "contour"
+           }
+          ],
+          "contourcarpet": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "contourcarpet"
+           }
+          ],
+          "heatmap": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmap"
+           }
+          ],
+          "heatmapgl": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmapgl"
+           }
+          ],
+          "histogram": [
+           {
+            "marker": {
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "histogram"
+           }
+          ],
+          "histogram2d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2d"
+           }
+          ],
+          "histogram2dcontour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2dcontour"
+           }
+          ],
+          "mesh3d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "mesh3d"
+           }
+          ],
+          "parcoords": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "parcoords"
+           }
+          ],
+          "pie": [
+           {
+            "automargin": true,
+            "type": "pie"
+           }
+          ],
+          "scatter": [
+           {
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
+            },
+            "type": "scatter"
+           }
+          ],
+          "scatter3d": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter3d"
+           }
+          ],
+          "scattercarpet": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattercarpet"
+           }
+          ],
+          "scattergeo": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergeo"
+           }
+          ],
+          "scattergl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergl"
+           }
+          ],
+          "scattermapbox": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattermapbox"
+           }
+          ],
+          "scatterpolar": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolar"
+           }
+          ],
+          "scatterpolargl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolargl"
+           }
+          ],
+          "scatterternary": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterternary"
+           }
+          ],
+          "surface": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "surface"
+           }
+          ],
+          "table": [
+           {
+            "cells": {
+             "fill": {
+              "color": "#EBF0F8"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "header": {
+             "fill": {
+              "color": "#C8D4E3"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "type": "table"
+           }
+          ]
+         },
+         "layout": {
+          "annotationdefaults": {
+           "arrowcolor": "#2a3f5f",
+           "arrowhead": 0,
+           "arrowwidth": 1
+          },
+          "autotypenumbers": "strict",
+          "coloraxis": {
+           "colorbar": {
+            "outlinewidth": 0,
+            "ticks": ""
+           }
+          },
+          "colorscale": {
+           "diverging": [
+            [
+             0,
+             "#8e0152"
+            ],
+            [
+             0.1,
+             "#c51b7d"
+            ],
+            [
+             0.2,
+             "#de77ae"
+            ],
+            [
+             0.3,
+             "#f1b6da"
+            ],
+            [
+             0.4,
+             "#fde0ef"
+            ],
+            [
+             0.5,
+             "#f7f7f7"
+            ],
+            [
+             0.6,
+             "#e6f5d0"
+            ],
+            [
+             0.7,
+             "#b8e186"
+            ],
+            [
+             0.8,
+             "#7fbc41"
+            ],
+            [
+             0.9,
+             "#4d9221"
+            ],
+            [
+             1,
+             "#276419"
+            ]
+           ],
+           "sequential": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ],
+           "sequentialminus": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ]
+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "width": 800
+       }
+      },
+      "text/html": [
+       "<div>                            <div id=\"0529aa66-0d7d-418d-a7ff-ebd1bd67ad6b\" class=\"plotly-graph-div\" style=\"height:400px; width:800px;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"0529aa66-0d7d-418d-a7ff-ebd1bd67ad6b\")) {                    Plotly.newPlot(                        \"0529aa66-0d7d-418d-a7ff-ebd1bd67ad6b\",                        [{\"branchvalues\":\"total\",\"domain\":{\"x\":[0.0,1.0],\"y\":[0.0,1.0]},\"hovertemplate\":\"labels=%{label}<br>count=%{value}<br>parent=%{parent}<br>id=%{id}<extra></extra>\",\"ids\":[\"Changing lane to the left\",\"Changing lane to the right\",\"Driving at high speed\",\"Driving carelessly\",\"Driving to the left\",\"Driving under the influence of drugs\",\"Drunk driving\",\"Getting off the vehicle improperly\",\"Improper parking\",\"Moving Backward\",\"No distancing\",\"No priority to pedestrian\",\"No priority to vehicle\",\"Other\",\"Overloading\",\"Overspeed\",\"Overtaking\",\"Overturning\",\"Turnover\",\"Unknown\"],\"labels\":[\"Changing lane to the left\",\"Changing lane to the right\",\"Driving at high speed\",\"Driving carelessly\",\"Driving to the left\",\"Driving under the influence of drugs\",\"Drunk driving\",\"Getting off the vehicle improperly\",\"Improper parking\",\"Moving Backward\",\"No distancing\",\"No priority to pedestrian\",\"No priority to vehicle\",\"Other\",\"Overloading\",\"Overspeed\",\"Overtaking\",\"Overturning\",\"Turnover\",\"Unknown\"],\"name\":\"\",\"parents\":[\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\"],\"values\":[1473,1808,174,1402,284,340,27,197,25,1137,2263,721,1207,456,59,61,430,149,78,25],\"type\":\"treemap\"}],                        {\"height\":400,\"legend\":{\"tracegroupgap\":0},\"margin\":{\"b\":25,\"l\":25,\"r\":25,\"t\":50},\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"width\":800},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('0529aa66-0d7d-418d-a7ff-ebd1bd67ad6b');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.treemap(df, path=['accident_cause'], width=800, height=400)\n",
+    "fig.update_layout(\n",
+    "    margin = dict(t=50, l=25, r=25, b=25))\n",
+    "# fig.show()\n",
+    "\n",
+    "py.init_notebook_mode(connected=True)\n",
+    "py.iplot(fig,filename=\"treeamp\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# converting 'time' to datetime\n",
+    "df['time'] = pd.to_datetime(df['time'])\n",
+    "\n",
+    "# date (date-month-year) time\n",
+    "df[\"time\"].dt.hour\n",
+    "\n",
+    "# extracting hour and minute from timestamp\n",
+    "df['hour'] = df['time'].dt.hour\n",
+    "df['minute'] = df['time'].dt.minute\n",
+    "df.drop('time', axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x7000 with 28 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(15,70))\n",
+    "plotnumber = 1\n",
+    "\n",
+    "for col in df.drop(['hour', 'minute', 'lanes', 'road_allignment', 'pedestrian_movement'], axis=1):\n",
+    "    if plotnumber <= df.shape[1]:\n",
+    "        ax1 = plt.subplot(16,2,plotnumber)\n",
+    "        sns.countplot(data=df, y=col, palette='Dark2')\n",
+    "        plt.xticks(fontsize=12)\n",
+    "        plt.yticks(fontsize=12)\n",
+    "        plt.title(col.title(), fontsize=14)\n",
+    "        plt.xlabel('')\n",
+    "        plt.ylabel('')\n",
+    "    plotnumber +=1\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,3))\n",
+    "sns.countplot(data=df, y='lanes', palette='Dark2')\n",
+    "plt.xticks(fontsize=12)\n",
+    "plt.yticks(fontsize=12)\n",
+    "plt.title('Lanes', fontsize=14)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,3))\n",
+    "sns.countplot(data=df, y='road_allignment', palette='Dark2')\n",
+    "plt.xticks(fontsize=12)\n",
+    "plt.yticks(fontsize=12)\n",
+    "plt.title('Road Allignment', fontsize=14)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,5))\n",
+    "sns.countplot(data=df, y='pedestrian_movement', palette='Dark2')\n",
+    "plt.xticks(fontsize=12)\n",
+    "plt.yticks(fontsize=12)\n",
+    "plt.title('pedestrian_movement', fontsize=14)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,5))\n",
+    "sns.countplot(data=df, y='hour')\n",
+    "plt.xticks(fontsize=12)\n",
+    "plt.yticks(fontsize=12)\n",
+    "plt.title('Hour', fontsize=14)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<function matplotlib.pyplot.tight_layout(*, pad=1.08, h_pad=None, w_pad=None, rect=None)>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x1500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,15))\n",
+    "sns.countplot(data=df, y='minute')\n",
+    "plt.xticks(fontsize=12)\n",
+    "plt.yticks(fontsize=12)\n",
+    "plt.title('Minute', fontsize=14)\n",
+    "#plt.xlabel('')\n",
+    "#plt.ylabel('')\n",
+    "plt.tight_layout"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>💡 Observations:</font></h3>\n",
+    "\n",
+    "Most of the accidents:\n",
+    "* involved 2 vehicles and 2 casualties\n",
+    "* occured on Fridays and after noon hours\n",
+    "\n",
+    "Most of the drivers:\n",
+    "* are male and in 18-30 yrs age groups\n",
+    "* have only went upto Junior high school and are employees\n",
+    "* have 5-10 yrs of driving experience\n",
+    "\n",
+    "Most of the accidents happened with personally owned passenger vehichles.\n",
+    "\n",
+    "Most of the drivers have met with accident on:\n",
+    "* two-way lanes\n",
+    "* tangent road with flat terrains\n",
+    "* Y shaped junctions\n",
+    "* ashplat roads\n",
+    "* day time \n",
+    "* normal weather conditions\n",
+    "\n",
+    "Most of the casualties:\n",
+    "* happened to physically fit male drivers\n",
+    "* are of severity 3\n",
+    "\n",
+    "The conditions on which most of the drivers met with the accident are:\n",
+    "* vehicle to vehicle collision\n",
+    "* straight movement\n",
+    "* no pedestrian accidents\n",
+    "\n",
+    "Not keeping enough distance between the vehicles was the major cause for most of the accidents and majority of the accidents resulted in slight injury.\n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>💡 Observations:</font></h3>\n",
+    "\n",
+    "* Most of the accidents have taken place between 3pm to 6pm with maximum numbers at 5pm\n",
+    "* Most of the time in minutes seems to have been recorded in intervals of 5 minutes for the sake of convenience. Hence more numbers to be seen at the 0 and 30 minutes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "min = list(range(5, 56, 5))\n",
+    "def convert_minutes(x: int):\n",
+    "    for m in min:\n",
+    "        if x % m == x and x > m-5:\n",
+    "            return m\n",
+    "        if x in [56, 57, 58, 59]:\n",
+    "            return 0\n",
+    "        if x in min+[0]:\n",
+    "            return x"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['minute'] = df['minute'].apply(lambda x: convert_minutes(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 500x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(5,7))\n",
+    "sns.countplot(data=df, y='minute')\n",
+    "plt.xticks(fontsize=12)\n",
+    "plt.yticks(fontsize=12)\n",
+    "plt.title('Minute', fontsize=14)\n",
+    "plt.xlabel('')\n",
+    "plt.ylabel('')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>💡 Observations:</font></h3>\n",
+    "    \n",
+    "* Most of the accidents with fatal injuries happened between 2pm to 7pm.\n",
+    "* Most of the accidents with fatal injuries happened on weekends.\n",
+    "* Highest number of non-fatal injuries happened at 5pm.\n",
+    "* Highest number of non-fatal injuries happened on fridays.\n",
+    "* Most accidents are caused by drivers aged 18-30 and the least by drivers aged under 18.\n",
+    "* Proportion of fatal accidents are lower for female drivers.\n",
+    "* Drivers with 2-5yrs of experience caused most accidents with fatal injury and those with 5-10yrs experience caused most accidents with non-fatal injuries.\n",
+    "* Proportion of fatal injuries caused by vehicles with more than 10yrs of service is lower compared to non-fatal injuries.\n",
+    "* Though most of the accident happened around offices, a higher proportion of accidents happened around residential areas have led to fatal injuries.\n",
+    "* Most accidents with fatal injuries occured on undivided two-ways.\n",
+    "* Most accidents with non-fatal injuries occured on two-way divided with broken lines road marking\n",
+    "* Double carriageway has a lower proportion of fatal accidents compared to non-fatal accidents.\n",
+    "* Severity of accidents increases at places with no junctions and the most number of fatal injuries occured at places with no junctions.\n",
+    "* Crossings and Y-shaped junctions shows a decreasing trend with respect to severity of accidents though the numbers are high.\n",
+    "* Most of the accidents with fatal injury have happened at night.\n",
+    "* Collisions with pedestrians have resulted in more fatal injuries compared to non-fatal injuries.\n",
+    "* Accidents with 4 casualties have a huge proportion on fatal injuries compared to non-fatal injuries.\n",
+    "* Accidents involving drivers with 18-30yrs of age have an increasing pattern with respect to severity of injuries.\n",
+    "* Moving backward led to most of the accidents with fatal injuries whereas failing to keep enough distance between vehicles led to more number of accidents with non-fatal injuries."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# ////////////////////////////////////////////////////"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hypothesis_df = df.copy(deep=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border: #0080FF solid; padding: 15px; background-color: #CEF6F5; font-size:100%; text-align:left\">\n",
+    "<h2 align=\"left\"><font color='#0080FF'>Hypothesis 1: Which of both genders is actually dangerous in Driving?</font></h2>\n",
+    "\n",
+    "<font color='#0080FF'><b>Calculating the Conditional Probability; Probability of an Accident Happen When the Driver is a Female and Repeating the Calculations when it's Male.<br>\n",
+    "P(Gender = Male | Severity = 2) P(Gender = Female | Severity = 2)</b></font>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "driver_sex\n",
+       "Accident(in %) Caused by Female      5.691783\n",
+       "Accident(in %) Caused by Male       92.862943\n",
+       "Accident(in %) Caused by Unknown     1.445274\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "((hypothesis_df.groupby(['driver_sex']).size() / hypothesis_df[\"driver_sex\"].count())* 100).add_prefix('Accident(in %) Caused by ')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,10))\n",
+    "male_df = hypothesis_df.loc[hypothesis_df.driver_sex == 'Male']\n",
+    "female_df = hypothesis_df.loc[hypothesis_df.driver_sex == 'Female']\n",
+    "sns.barplot(data=male_df,x = male_df.accident_cause.unique(),y=male_df.accident_cause.value_counts().values, color='dodgerblue', label=\"Male\")\n",
+    "sns.barplot(data=female_df,x = female_df.accident_cause.unique(),y=female_df.accident_cause.value_counts().values, color='crimson', label=\"Female\")\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>accident_severity</th>\n",
+       "      <th>Fatal injury</th>\n",
+       "      <th>Serious Injury</th>\n",
+       "      <th>Slight Injury</th>\n",
+       "      <th>All</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>driver_sex</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Female</th>\n",
+       "      <td>5</td>\n",
+       "      <td>104</td>\n",
+       "      <td>592</td>\n",
+       "      <td>701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Male</th>\n",
+       "      <td>152</td>\n",
+       "      <td>1621</td>\n",
+       "      <td>9664</td>\n",
+       "      <td>11437</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>All</th>\n",
+       "      <td>157</td>\n",
+       "      <td>1725</td>\n",
+       "      <td>10256</td>\n",
+       "      <td>12138</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "accident_severity  Fatal injury  Serious Injury  Slight Injury    All\n",
+       "driver_sex                                                           \n",
+       "Female                        5             104            592    701\n",
+       "Male                        152            1621           9664  11437\n",
+       "All                         157            1725          10256  12138"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ff = pd.crosstab(index=hypothesis_df['driver_sex'].loc[hypothesis_df['driver_sex'] !=\"Unknown\"], columns=df['accident_severity']\n",
+    "                 , margins=True)\n",
+    "ff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "P(Gender = Female | Severity = Fatal) = 0.7132667617689016%\n",
+      "P(Gender = Male | Severity = Fatal) = 1.3290198478622017%\n",
+      "\n",
+      "P(Gender = Female | Severity = Serious Injury) = 14.835948644793154%\n",
+      "P(Gender = Male | Severity = Serious Injury) = 14.173297193319925%\n",
+      "\n",
+      "P(Gender = Female | Severity = Slight Injury) = 84.45078459343794%\n",
+      "P(Gender = Male | Severity = Slight Injury) = 84.49768295881788%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"P(Gender = Female | Severity = Fatal) = \" + str((ff.iloc[0,0])/(ff.iloc[0,3]*1.0)*100) + '%')\n",
+    "print(\"P(Gender = Male | Severity = Fatal) = \" + str((ff.iloc[1,0])/(ff.iloc[1,3]*1.0)*100) + '%\\n')\n",
+    "\n",
+    "print(\"P(Gender = Female | Severity = Serious Injury) = \" + str((ff.iloc[0,1])/(ff.iloc[0,3]*1.0)*100) + '%')\n",
+    "print(\"P(Gender = Male | Severity = Serious Injury) = \" + str((ff.iloc[1,1])/(ff.iloc[1,3]*1.0)*100) + '%\\n')\n",
+    "\n",
+    "print(\"P(Gender = Female | Severity = Slight Injury) = \" + str((ff.iloc[0,2])/(ff.iloc[0,3]*1.0)*100) + '%')\n",
+    "print(\"P(Gender = Male | Severity = Slight Injury) = \" + str((ff.iloc[1,2])/(ff.iloc[1,3]*1.0)*100) + '%')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>Observation:</font></h3>\n",
+    "    \n",
+    "Although, the percentage of Accidents done in this sample by males is over 92% but, it doesn't actually indicate that males are more dangerous\n",
+    "If we calculated the probability for each gender we can deduce that both are quite the same."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border: #0080FF solid; padding: 15px; background-color: #CEF6F5; font-size:100%; text-align:left\">\n",
+    "<h2 align=\"left\"><font color='#0080FF'>Hypothesis 2: Is Speeding is the main Cause for Car Crashes?</font></h2><br>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>accident_severity</th>\n",
+       "      <th>Fatal injury</th>\n",
+       "      <th>Serious Injury</th>\n",
+       "      <th>Slight Injury</th>\n",
+       "      <th>All</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>accident_cause</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Changing lane to the left</th>\n",
+       "      <td>16</td>\n",
+       "      <td>206</td>\n",
+       "      <td>1251</td>\n",
+       "      <td>1473</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Changing lane to the right</th>\n",
+       "      <td>23</td>\n",
+       "      <td>260</td>\n",
+       "      <td>1525</td>\n",
+       "      <td>1808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Driving at high speed</th>\n",
+       "      <td>2</td>\n",
+       "      <td>31</td>\n",
+       "      <td>141</td>\n",
+       "      <td>174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Driving carelessly</th>\n",
+       "      <td>22</td>\n",
+       "      <td>209</td>\n",
+       "      <td>1171</td>\n",
+       "      <td>1402</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Driving to the left</th>\n",
+       "      <td>4</td>\n",
+       "      <td>53</td>\n",
+       "      <td>227</td>\n",
+       "      <td>284</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Driving under the influence of drugs</th>\n",
+       "      <td>5</td>\n",
+       "      <td>46</td>\n",
+       "      <td>289</td>\n",
+       "      <td>340</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Drunk driving</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24</td>\n",
+       "      <td>27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Getting off the vehicle improperly</th>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>165</td>\n",
+       "      <td>197</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Improper parking</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>22</td>\n",
+       "      <td>25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Moving Backward</th>\n",
+       "      <td>26</td>\n",
+       "      <td>162</td>\n",
+       "      <td>949</td>\n",
+       "      <td>1137</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>No distancing</th>\n",
+       "      <td>20</td>\n",
+       "      <td>303</td>\n",
+       "      <td>1940</td>\n",
+       "      <td>2263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>No priority to pedestrian</th>\n",
+       "      <td>5</td>\n",
+       "      <td>95</td>\n",
+       "      <td>621</td>\n",
+       "      <td>721</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>No priority to vehicle</th>\n",
+       "      <td>13</td>\n",
+       "      <td>149</td>\n",
+       "      <td>1045</td>\n",
+       "      <td>1207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>7</td>\n",
+       "      <td>64</td>\n",
+       "      <td>385</td>\n",
+       "      <td>456</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Overloading</th>\n",
+       "      <td>2</td>\n",
+       "      <td>10</td>\n",
+       "      <td>47</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Overspeed</th>\n",
+       "      <td>1</td>\n",
+       "      <td>15</td>\n",
+       "      <td>45</td>\n",
+       "      <td>61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Overtaking</th>\n",
+       "      <td>4</td>\n",
+       "      <td>75</td>\n",
+       "      <td>351</td>\n",
+       "      <td>430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Overturning</th>\n",
+       "      <td>2</td>\n",
+       "      <td>23</td>\n",
+       "      <td>124</td>\n",
+       "      <td>149</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Turnover</th>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>70</td>\n",
+       "      <td>78</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>23</td>\n",
+       "      <td>25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>All</th>\n",
+       "      <td>158</td>\n",
+       "      <td>1743</td>\n",
+       "      <td>10415</td>\n",
+       "      <td>12316</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "accident_severity                     Fatal injury  Serious Injury  \\\n",
+       "accident_cause                                                       \n",
+       "Changing lane to the left                       16             206   \n",
+       "Changing lane to the right                      23             260   \n",
+       "Driving at high speed                            2              31   \n",
+       "Driving carelessly                              22             209   \n",
+       "Driving to the left                              4              53   \n",
+       "Driving under the influence of drugs             5              46   \n",
+       "Drunk driving                                    0               3   \n",
+       "Getting off the vehicle improperly               3              29   \n",
+       "Improper parking                                 1               2   \n",
+       "Moving Backward                                 26             162   \n",
+       "No distancing                                   20             303   \n",
+       "No priority to pedestrian                        5              95   \n",
+       "No priority to vehicle                          13             149   \n",
+       "Other                                            7              64   \n",
+       "Overloading                                      2              10   \n",
+       "Overspeed                                        1              15   \n",
+       "Overtaking                                       4              75   \n",
+       "Overturning                                      2              23   \n",
+       "Turnover                                         2               6   \n",
+       "Unknown                                          0               2   \n",
+       "All                                            158            1743   \n",
+       "\n",
+       "accident_severity                     Slight Injury    All  \n",
+       "accident_cause                                              \n",
+       "Changing lane to the left                      1251   1473  \n",
+       "Changing lane to the right                     1525   1808  \n",
+       "Driving at high speed                           141    174  \n",
+       "Driving carelessly                             1171   1402  \n",
+       "Driving to the left                             227    284  \n",
+       "Driving under the influence of drugs            289    340  \n",
+       "Drunk driving                                    24     27  \n",
+       "Getting off the vehicle improperly              165    197  \n",
+       "Improper parking                                 22     25  \n",
+       "Moving Backward                                 949   1137  \n",
+       "No distancing                                  1940   2263  \n",
+       "No priority to pedestrian                       621    721  \n",
+       "No priority to vehicle                         1045   1207  \n",
+       "Other                                           385    456  \n",
+       "Overloading                                      47     59  \n",
+       "Overspeed                                        45     61  \n",
+       "Overtaking                                      351    430  \n",
+       "Overturning                                     124    149  \n",
+       "Turnover                                         70     78  \n",
+       "Unknown                                          23     25  \n",
+       "All                                           10415  12316  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ff = pd.crosstab(index=hypothesis_df['accident_cause'], columns=hypothesis_df['accident_severity'], margins=True)\n",
+    "ff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Injuries(all types due to speeding): 141/1402\n",
+      "In percentage: 10.057061340941512 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'Injuries(all types due to speeding): {ff.iloc[2,2]}/{ff.iloc[3,3]}')\n",
+    "print(f'In percentage: {(ff.iloc[2,2]/ff.iloc[3,3])*100} %')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>Observation:</font></h3>\n",
+    "    \n",
+    "Despite the fact that speeding causes accidents. After analysis it’s found that speeding is not one of the main factors."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border: #0080FF solid; padding: 15px; background-color: #CEF6F5; font-size:100%; text-align:left\">\n",
+    "<h2 align=\"left\"><font color='#0080FF'>Hypothesis 3: Do weekends account for more accidents?</font></h2><br>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>accident_severity</th>\n",
+       "      <th>Fatal injury</th>\n",
+       "      <th>Serious Injury</th>\n",
+       "      <th>Slight Injury</th>\n",
+       "      <th>All</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>day_of_week</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Friday</th>\n",
+       "      <td>16</td>\n",
+       "      <td>313</td>\n",
+       "      <td>1712</td>\n",
+       "      <td>2041</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Monday</th>\n",
+       "      <td>12</td>\n",
+       "      <td>204</td>\n",
+       "      <td>1465</td>\n",
+       "      <td>1681</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Saturday</th>\n",
+       "      <td>37</td>\n",
+       "      <td>245</td>\n",
+       "      <td>1384</td>\n",
+       "      <td>1666</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sunday</th>\n",
+       "      <td>35</td>\n",
+       "      <td>190</td>\n",
+       "      <td>1242</td>\n",
+       "      <td>1467</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Thursday</th>\n",
+       "      <td>22</td>\n",
+       "      <td>272</td>\n",
+       "      <td>1557</td>\n",
+       "      <td>1851</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Tuesday</th>\n",
+       "      <td>17</td>\n",
+       "      <td>257</td>\n",
+       "      <td>1496</td>\n",
+       "      <td>1770</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Wednesday</th>\n",
+       "      <td>19</td>\n",
+       "      <td>262</td>\n",
+       "      <td>1559</td>\n",
+       "      <td>1840</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>All</th>\n",
+       "      <td>158</td>\n",
+       "      <td>1743</td>\n",
+       "      <td>10415</td>\n",
+       "      <td>12316</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "accident_severity  Fatal injury  Serious Injury  Slight Injury    All\n",
+       "day_of_week                                                          \n",
+       "Friday                       16             313           1712   2041\n",
+       "Monday                       12             204           1465   1681\n",
+       "Saturday                     37             245           1384   1666\n",
+       "Sunday                       35             190           1242   1467\n",
+       "Thursday                     22             272           1557   1851\n",
+       "Tuesday                      17             257           1496   1770\n",
+       "Wednesday                    19             262           1559   1840\n",
+       "All                         158            1743          10415  12316"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ff = pd.crosstab(index=hypothesis_df['day_of_week'], columns=hypothesis_df['accident_severity'], margins=True)\n",
+    "ff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accident percentage of weekdays: 0.75\n",
+      "Accident percentage of weekends: 0.25\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Accident percentage of weekdays:' , round(sum([ff.iloc[i,3] for i in range(0,7) if ff.index[i] not in ['Saturday','Sunday']])/ff.iloc[7,3],2))\n",
+    "print('Accident percentage of weekends:' , round(sum([ff.iloc[i,3] for i in range(0,7) if ff.index[i] in ['Saturday','Sunday']])/ff.iloc[7,3],2))\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>Observation:</font></h3>\n",
+    "    \n",
+    "Its quite clear that there is no indication of more accidents happening on weekends"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border: #0080FF solid; padding: 15px; background-color: #CEF6F5; font-size:100%; text-align:left\">\n",
+    "<h2 align=\"left\"><font color='#0080FF'>Hypothesis 4: Are there more dangerous injuries at night than in day? </font></h2><br>\n",
+    "<font color='#0080FF'>We would consider both fatal and serious to be dangerous injuries</font>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>accident_severity</th>\n",
+       "      <th>Fatal injury</th>\n",
+       "      <th>Serious Injury</th>\n",
+       "      <th>Slight Injury</th>\n",
+       "      <th>All</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>light_condition</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Darkness - lights lit</th>\n",
+       "      <td>66</td>\n",
+       "      <td>465</td>\n",
+       "      <td>2755</td>\n",
+       "      <td>3286</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Darkness - lights unlit</th>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Darkness - no lighting</th>\n",
+       "      <td>5</td>\n",
+       "      <td>49</td>\n",
+       "      <td>138</td>\n",
+       "      <td>192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Daylight</th>\n",
+       "      <td>87</td>\n",
+       "      <td>1222</td>\n",
+       "      <td>7489</td>\n",
+       "      <td>8798</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>All</th>\n",
+       "      <td>158</td>\n",
+       "      <td>1743</td>\n",
+       "      <td>10415</td>\n",
+       "      <td>12316</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "accident_severity        Fatal injury  Serious Injury  Slight Injury    All\n",
+       "light_condition                                                            \n",
+       "Darkness - lights lit              66             465           2755   3286\n",
+       "Darkness - lights unlit             0               7             33     40\n",
+       "Darkness - no lighting              5              49            138    192\n",
+       "Daylight                           87            1222           7489   8798\n",
+       "All                               158            1743          10415  12316"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ff = pd.crosstab(index=hypothesis_df['light_condition'], columns=hypothesis_df['accident_severity'], margins=True)\n",
+    "ff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dangerous injuries at night: 0.17 %\n",
+      "Slight injuries at night: 0.83 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "sol = 0\n",
+    "for i in [0,1]:\n",
+    "    for j in [0,1,2]:\n",
+    "        sol += ff.iloc[j,i]\n",
+    "\n",
+    "r = sol/(sum(ff.iloc[i,3] for i in [0,1,2]))\n",
+    "print('Dangerous injuries at night:',round(r,2),'%')\n",
+    "r = sum(ff.iloc[i,2] for i in [0,1,2])/sum(ff.iloc[i,3] for i in [0,1,2])\n",
+    "print('Slight injuries at night:',round(r,2),'%')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dangeroud injuries at day: 0.15 %\n",
+      "Slight Injuries at day: 0.85 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "r = sum(ff.iloc[3,i] for i in [0,1])/ff.iloc[3,3]\n",
+    "print('Dangeroud injuries at day:', round(r,2),'%')\n",
+    "r = ff.iloc[3,2]/ff.iloc[3,3]\n",
+    "print('Slight Injuries at day:', round(r,2),'%')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>Observation:</font></h3>\n",
+    "    \n",
+    "Although it does that in daylight there are more number of accidents but the dangerous injuries percentage are almost same either be it day or night."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border: #0080FF solid; padding: 15px; background-color: #CEF6F5; font-size:100%; text-align:left\">\n",
+    "<h2 align=\"left\"><font color='#0080FF'>Hypothesis 5: More accidents under some specific non-normal weather? </font></h2><br>\n",
+    "<font color='#0080FF'>We would not consider normal weather</font>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>accident_severity</th>\n",
+       "      <th>Fatal injury</th>\n",
+       "      <th>Serious Injury</th>\n",
+       "      <th>Slight Injury</th>\n",
+       "      <th>All</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>weather_condition</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Cloudy</th>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>117</td>\n",
+       "      <td>125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Fog or mist</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>268</td>\n",
+       "      <td>296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Raining</th>\n",
+       "      <td>23</td>\n",
+       "      <td>158</td>\n",
+       "      <td>1150</td>\n",
+       "      <td>1331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Raining and Windy</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>38</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Snow</th>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>241</td>\n",
+       "      <td>292</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Windy</th>\n",
+       "      <td>0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>82</td>\n",
+       "      <td>98</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "accident_severity  Fatal injury  Serious Injury  Slight Injury   All\n",
+       "weather_condition                                                   \n",
+       "Cloudy                        0               8            117   125\n",
+       "Fog or mist                   0               1              9    10\n",
+       "Other                         0              28            268   296\n",
+       "Raining                      23             158           1150  1331\n",
+       "Raining and Windy             0               2             38    40\n",
+       "Snow                          0               5             56    61\n",
+       "Unknown                       0              51            241   292\n",
+       "Windy                         0              16             82    98"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ff = pd.crosstab(index=hypothesis_df['weather_condition'], columns=hypothesis_df['accident_severity'], margins=True)\n",
+    "ff.drop(['Normal', 'All'],axis=0)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"border-radius:10px; border:#DEB887 solid; padding: 15px; background-color: #FFFAF0; font-size:100%; text-align:left\">\n",
+    "<h3 align=\"left\"><font color='#DEB887'>Observation:</font></h3>\n",
+    "    \n",
+    "We can clearly see that rainy weather causes more accident and also all the fatal injuries have occured under non-normal conditions are there in rainy weather"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# /////////////////////////"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# <span style=\"font-family:cursive;text-align:center\">⚙️ Preprocessing</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "day_of_week                   0\n",
+       "driver_age                    0\n",
+       "driver_sex                    0\n",
+       "educational_level           741\n",
+       "vehicle_driver_relation     579\n",
+       "driving_experience          829\n",
+       "vehicle_type                950\n",
+       "vehicle_owner               482\n",
+       "service_year               3928\n",
+       "vehicle_defect             4427\n",
+       "accident_area               239\n",
+       "lanes                       385\n",
+       "road_allignment             142\n",
+       "junction_type               887\n",
+       "surface_type                172\n",
+       "road_surface_conditions       0\n",
+       "light_condition               0\n",
+       "weather_condition             0\n",
+       "collision_type              155\n",
+       "vehicles_involved             0\n",
+       "casualties                    0\n",
+       "vehicle_movement            308\n",
+       "casualty_class                0\n",
+       "casualty_sex                  0\n",
+       "casualty_age                  0\n",
+       "casualty_severity             0\n",
+       "casualty_work              3198\n",
+       "casualty_fitness           2635\n",
+       "pedestrian_movement           0\n",
+       "accident_cause                0\n",
+       "accident_severity             0\n",
+       "hour                          0\n",
+       "minute                        0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# dropping columns that can cause imbalance while imputation\n",
+    "df.drop(columns = ['vehicle_defect', 'vehicle_driver_relation', 'casualty_work', 'casualty_fitness'], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "impute_cols = [x for x in df.isna().sum()[df.isna().sum() != 0].index.tolist()]\n",
+    "for feat in impute_cols:\n",
+    "    mode = df[feat].mode()[0]\n",
+    "    df[feat].fillna(mode, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "day_of_week                0\n",
+       "driver_age                 0\n",
+       "driver_sex                 0\n",
+       "educational_level          0\n",
+       "driving_experience         0\n",
+       "vehicle_type               0\n",
+       "vehicle_owner              0\n",
+       "service_year               0\n",
+       "accident_area              0\n",
+       "lanes                      0\n",
+       "road_allignment            0\n",
+       "junction_type              0\n",
+       "surface_type               0\n",
+       "road_surface_conditions    0\n",
+       "light_condition            0\n",
+       "weather_condition          0\n",
+       "collision_type             0\n",
+       "vehicles_involved          0\n",
+       "casualties                 0\n",
+       "vehicle_movement           0\n",
+       "casualty_class             0\n",
+       "casualty_sex               0\n",
+       "casualty_age               0\n",
+       "casualty_severity          0\n",
+       "pedestrian_movement        0\n",
+       "accident_cause             0\n",
+       "accident_severity          0\n",
+       "hour                       0\n",
+       "minute                     0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isna().sum()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### <span style=\"font-family:cursive;text-align:center\"> Encoding</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(12316, 29)"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def ordinal_encoder(df, feats):\n",
+    "    for feat in feats:\n",
+    "        feat_val = list(np.arange(df[feat].nunique()))\n",
+    "        feat_key = list(df[feat].sort_values().unique())\n",
+    "        feat_dict = dict(zip(feat_key, feat_val))\n",
+    "        df[feat] = df[feat].map(feat_dict)\n",
+    "    return df\n",
+    "\n",
+    "df = ordinal_encoder(df, df.drop(['accident_severity'], axis=1).columns)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>day_of_week</th>\n",
+       "      <th>driver_age</th>\n",
+       "      <th>driver_sex</th>\n",
+       "      <th>educational_level</th>\n",
+       "      <th>driving_experience</th>\n",
+       "      <th>vehicle_type</th>\n",
+       "      <th>vehicle_owner</th>\n",
+       "      <th>service_year</th>\n",
+       "      <th>accident_area</th>\n",
+       "      <th>lanes</th>\n",
+       "      <th>road_allignment</th>\n",
+       "      <th>junction_type</th>\n",
+       "      <th>surface_type</th>\n",
+       "      <th>road_surface_conditions</th>\n",
+       "      <th>light_condition</th>\n",
+       "      <th>weather_condition</th>\n",
+       "      <th>collision_type</th>\n",
+       "      <th>vehicles_involved</th>\n",
+       "      <th>casualties</th>\n",
+       "      <th>vehicle_movement</th>\n",
+       "      <th>casualty_class</th>\n",
+       "      <th>casualty_sex</th>\n",
+       "      <th>casualty_age</th>\n",
+       "      <th>casualty_severity</th>\n",
+       "      <th>pedestrian_movement</th>\n",
+       "      <th>accident_cause</th>\n",
+       "      <th>accident_severity</th>\n",
+       "      <th>hour</th>\n",
+       "      <th>minute</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>9</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>16</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Serious Injury</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>16</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>Slight Injury</td>\n",
+       "      <td>14</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   day_of_week  driver_age  driver_sex  educational_level  driving_experience  \\\n",
+       "0            1           0           1                  0                   0   \n",
+       "1            1           1           1                  4                   3   \n",
+       "2            1           0           1                  4                   0   \n",
+       "3            3           0           1                  4                   2   \n",
+       "4            3           0           1                  4                   1   \n",
+       "5            0           1           1                  4                   2   \n",
+       "\n",
+       "   vehicle_type  vehicle_owner  service_year  accident_area  lanes  \\\n",
+       "0             0              3             3              9      2   \n",
+       "1            11              3             2              6      4   \n",
+       "2             5              3             5              1      6   \n",
+       "3            11              0             5              6      6   \n",
+       "4             0              3             2              4      6   \n",
+       "5             0              3             5              7      2   \n",
+       "\n",
+       "   road_allignment  junction_type  surface_type  road_surface_conditions  \\\n",
+       "0                5              1             0                        0   \n",
+       "1                5              1             0                        0   \n",
+       "2                5              1             0                        0   \n",
+       "3                6              7             2                        0   \n",
+       "4                5              7             0                        0   \n",
+       "5                5              7             0                        0   \n",
+       "\n",
+       "   light_condition  weather_condition  collision_type  vehicles_involved  \\\n",
+       "0                3                  2               3                  1   \n",
+       "1                3                  2               8                  1   \n",
+       "2                3                  2               2                  1   \n",
+       "3                0                  2               8                  1   \n",
+       "4                0                  2               8                  1   \n",
+       "5                3                  2               8                  0   \n",
+       "\n",
+       "   casualties  vehicle_movement  casualty_class  casualty_sex  casualty_age  \\\n",
+       "0           1                 2               3             2             5   \n",
+       "1           1                 2               3             2             5   \n",
+       "2           1                 2               0             1             1   \n",
+       "3           1                 2               2             0             0   \n",
+       "4           1                 2               3             2             5   \n",
+       "5           0                10               0             1             1   \n",
+       "\n",
+       "   casualty_severity  pedestrian_movement  accident_cause accident_severity  \\\n",
+       "0                  3                    5               9     Slight Injury   \n",
+       "1                  3                    5              16     Slight Injury   \n",
+       "2                  2                    5               0    Serious Injury   \n",
+       "3                  2                    5               1     Slight Injury   \n",
+       "4                  3                    5              16     Slight Injury   \n",
+       "5                  2                    5              14     Slight Injury   \n",
+       "\n",
+       "   hour  minute  \n",
+       "0    17       1  \n",
+       "1    17       1  \n",
+       "2    17       1  \n",
+       "3     1       2  \n",
+       "4     1       2  \n",
+       "5    14       3  "
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(6)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2200x1700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(22,17))\n",
+    "sns.set(font_scale=0.8)\n",
+    "sns.heatmap(df.corr(), annot=True, cmap=plt.cm.CMRmap_r)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### <span style=\"font-family:cursive;text-align:center\"> Upsampling</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(8621, 28) (3695, 28) (8621,) (3695,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "X = df.drop('accident_severity', axis=1)\n",
+    "y = df['accident_severity']\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
+    "print(X_train.shape, X_test.shape, y_train.shape, y_test.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "===========================\n",
+      "Class= Slight Injury, n=7324 (84.96%)\n",
+      "Class= Serious Injury, n=1191 (13.82%)\n",
+      "Class= Fatal injury, n=106 (1.23%)\n",
+      "===========================\n",
+      "Class= Slight Injury, n=7324 (33.33%)\n",
+      "Class= Serious Injury, n=7324 (33.33%)\n",
+      "Class= Fatal injury, n=7324 (33.33%)\n",
+      "===========================\n",
+      "Upsampled data shape:  (21972, 28) (21972,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# upsampling using smote\n",
+    "\n",
+    "counter = Counter(y_train)\n",
+    "\n",
+    "print(\"===========================\")\n",
+    "\n",
+    "for k,v in counter.items():\n",
+    "    per =  100*v/len(y_train)\n",
+    "    print(f\"Class= {k}, n={v} ({per:.2f}%)\")\n",
+    "\n",
+    "oversample = SMOTE()\n",
+    "X_train, y_train = oversample.fit_resample(X_train, y_train)\n",
+    "\n",
+    "counter = Counter(y_train)\n",
+    "\n",
+    "print(\"===========================\")\n",
+    "\n",
+    "for k,v in counter.items():\n",
+    "    per = 100*v/len(y_train)\n",
+    "    print(f\"Class= {k}, n={v} ({per:.2f}%)\")\n",
+    "\n",
+    "print(\"===========================\")\n",
+    "\n",
+    "print(\"Upsampled data shape: \", X_train.shape, y_train.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_test = ordinal_encoder(pd.DataFrame(y_test, columns = ['accident_severity']), pd.DataFrame(y_test, columns = ['accident_severity']).columns)['accident_severity']\n",
+    "y_train = ordinal_encoder(pd.DataFrame(y_train, columns = ['accident_severity']), pd.DataFrame(y_train, columns = ['accident_severity']).columns)['accident_severity']"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# <span style=\"font-family:cursive;text-align:center\">🧰 Baseline Modelling</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def modelling(X_train, y_train, X_test, y_test, **kwargs):\n",
+    "    scores = {}\n",
+    "    models = []\n",
+    "    bvd = {}\n",
+    "    if 'xgb' in kwargs.keys() and kwargs['xgb']:\n",
+    "        xgb = XGBClassifier()\n",
+    "        xgb.fit(X_train._get_numeric_data(), np.ravel(y_train, order='C'))\n",
+    "        y_pred = xgb.predict(X_test._get_numeric_data())\n",
+    "        scores['xgb']=[accuracy_score(y_test, y_pred)]\n",
+    "        models.append(xgb)\n",
+    "\n",
+    "    if 'rf' in kwargs.keys() and kwargs['rf']:\n",
+    "        rf = RandomForestClassifier(n_estimators=200)\n",
+    "        rf.fit(X_train, y_train)\n",
+    "        y_pred = rf.predict(X_test)\n",
+    "        scores['rf']= [accuracy_score(y_test,y_pred)]\n",
+    "        models.append(rf)\n",
+    "\n",
+    "    if 'extree' in kwargs.keys() and kwargs['extree']:\n",
+    "        extree = ExtraTreesClassifier()\n",
+    "        extree.fit(X_train, y_train)\n",
+    "        y_pred = extree.predict(X_test)\n",
+    "        scores['extree'] = [accuracy_score(y_test, y_pred)]\n",
+    "        models.append(extree)\n",
+    "\n",
+    "    return scores, models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'xgb': [0.7897158322056833], 'rf': [0.7948579161028417], 'extree': [0.8056833558863329]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "scores, models = modelling(X_train, y_train, X_test, y_test, xgb=True, rf=True, extree=True)\n",
+    "print(scores)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\" style=\"font-size:14px; font-family:verdana; line-height: 1.7em;\">\n",
+    "    📌 &nbsp;<b><u>Accuracy Scores:</u></b><br>\n",
+    "    \n",
+    "*  XGB -> 79.62%<br>\n",
+    "*  Random Forrest -> 80.05%<br>\n",
+    "*  Extra Trees -> 81.05%<br>\n",
+    "  \n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "y_pred_xgb = models[0].predict(X_test)\n",
+    "y_pred_rf = models[1].predict(X_test)\n",
+    "y_pred_ext = models[2].predict(X_test)\n",
+    "\n",
+    "tb = mcnemar_tables(y_test, \n",
+    "                    y_pred_xgb,\n",
+    "                    y_pred_rf, \n",
+    "                    y_pred_ext)\n",
+    "\n",
+    "brd = checkerboard_plot(tb['model_0 vs model_1'],\n",
+    "                        figsize=(5, 5),\n",
+    "                        fmt='%d',\n",
+    "                        col_labels=['model rf wrong', 'model rf right'],\n",
+    "                        row_labels=['model xgb wrong', 'model xgb right'])\n",
+    "plt.show()\n",
+    "\n",
+    "brd = checkerboard_plot(tb['model_0 vs model_2'],\n",
+    "                        figsize=(5, 5),\n",
+    "                        fmt='%d',\n",
+    "                        col_labels=['model ext wrong', 'model ext right'],\n",
+    "                        row_labels=['model xgb wrong', 'model xgb right'])\n",
+    "plt.show()\n",
+    "\n",
+    "brd = checkerboard_plot(tb['model_1 vs model_2'],\n",
+    "                        figsize=(5, 5),\n",
+    "                        fmt='%d',\n",
+    "                        col_labels=['model ext wrong', 'model ext right'],\n",
+    "                        row_labels=['model rf wrong', 'model rf right'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def model_performance(model, y_test, y_hat) : \n",
+    "    conf_matrix = confusion_matrix(y_test, y_hat)\n",
+    "    trace1 = go.Heatmap(z = conf_matrix  ,x = [\"0 (pred)\",\"1 (pred)\", \"2 (pred)\"],\n",
+    "                        y = [\"0 (true)\",\"1 (true)\", \"2 (true)\"],xgap = 2, ygap = 2, \n",
+    "                        colorscale = 'Viridis', showscale  = False)\n",
+    "\n",
+    "    #Show metrics\n",
+    "    Accuracy  =  accuracy_score(y_test, y_hat)\n",
+    "    Precision =  precision_score(y_test, y_pred, average= 'weighted')\n",
+    "    Recall    =  recall_score(y_test, y_pred, average= 'weighted')\n",
+    "    F1_score  =  f1_score(y_test, y_pred, average= 'weighted')\n",
+    "\n",
+    "    show_metrics = pd.DataFrame(data=[[Accuracy , Precision, Recall, F1_score]])\n",
+    "    show_metrics = show_metrics.T\n",
+    "\n",
+    "    colors = ['gold', 'lightgreen', 'lightcoral', 'lightskyblue']\n",
+    "    trace2 = go.Bar(x = (show_metrics[0].values), \n",
+    "                   y = ['Accuracy', 'Precision', 'Recall', 'F1_score'], text = np.round_(show_metrics[0].values,4),\n",
+    "                    textposition = 'auto',\n",
+    "                   orientation = 'h', opacity = 0.8,marker=dict(\n",
+    "            color=colors,\n",
+    "            line=dict(color='#000000',width=1.5)))\n",
+    " \n",
+    "     \n",
+    "    #plots\n",
+    "    model = model\n",
+    "    \n",
+    "    #Subplots\n",
+    "    fig = tls.make_subplots(rows=2, cols=1, print_grid=False, \n",
+    "                          subplot_titles=('Confusion Matrix',\n",
+    "                                        'Metrics',\n",
+    "                                        ))\n",
+    "    \n",
+    "    fig.append_trace(trace1,1,1)\n",
+    "    fig.append_trace(trace2,2,1)\n",
+    "    \n",
+    "    fig['layout'].update(showlegend = False, title = '<b>Model performance report</b><br>'+str(model),\n",
+    "                        autosize = True, height = 800,width = 800,\n",
+    "                        plot_bgcolor = 'rgba(240,240,240, 0.95)',\n",
+    "                        paper_bgcolor = 'rgba(240,240,240, 0.95)',\n",
+    "                        # margin = dict(b = 100)\n",
+    "                        )\n",
+    "    fig.layout.titlefont.size = 14\n",
+    "    \n",
+    "    py.iplot(fig,filename='model-performance')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "extree = ExtraTreesClassifier()\n",
+    "extree.fit(X_train, y_train)\n",
+    "y_pred = extree.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'bootstrap': False,\n",
+       " 'ccp_alpha': 0.0,\n",
+       " 'class_weight': None,\n",
+       " 'criterion': 'gini',\n",
+       " 'max_depth': None,\n",
+       " 'max_features': 'sqrt',\n",
+       " 'max_leaf_nodes': None,\n",
+       " 'max_samples': None,\n",
+       " 'min_impurity_decrease': 0.0,\n",
+       " 'min_samples_leaf': 1,\n",
+       " 'min_samples_split': 2,\n",
+       " 'min_weight_fraction_leaf': 0.0,\n",
+       " 'n_estimators': 100,\n",
+       " 'n_jobs': None,\n",
+       " 'oob_score': False,\n",
+       " 'random_state': None,\n",
+       " 'verbose': 0,\n",
+       " 'warm_start': False}"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "extree.get_params()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "linkText": "Export to plot.ly",
+        "plotlyServerURL": "https://plot.ly",
+        "showLink": false
+       },
+       "data": [
+        {
+         "colorscale": [
+          [
+           0,
+           "#440154"
+          ],
+          [
+           0.1111111111111111,
+           "#482878"
+          ],
+          [
+           0.2222222222222222,
+           "#3e4989"
+          ],
+          [
+           0.3333333333333333,
+           "#31688e"
+          ],
+          [
+           0.4444444444444444,
+           "#26828e"
+          ],
+          [
+           0.5555555555555556,
+           "#1f9e89"
+          ],
+          [
+           0.6666666666666666,
+           "#35b779"
+          ],
+          [
+           0.7777777777777778,
+           "#6ece58"
+          ],
+          [
+           0.8888888888888888,
+           "#b5de2b"
+          ],
+          [
+           1,
+           "#fde725"
+          ]
+         ],
+         "showscale": false,
+         "type": "heatmap",
+         "x": [
+          "0 (pred)",
+          "1 (pred)",
+          "2 (pred)"
+         ],
+         "xaxis": "x",
+         "xgap": 2,
+         "y": [
+          "0 (true)",
+          "1 (true)",
+          "2 (true)"
+         ],
+         "yaxis": "y",
+         "ygap": 2,
+         "z": [
+          [
+           0,
+           2,
+           50
+          ],
+          [
+           1,
+           59,
+           492
+          ],
+          [
+           0,
+           152,
+           2939
+          ]
+         ]
+        },
+        {
+         "marker": {
+          "color": [
+           "gold",
+           "lightgreen",
+           "lightcoral",
+           "lightskyblue"
+          ],
+          "line": {
+           "color": "#000000",
+           "width": 1.5
+          }
+         },
+         "opacity": 0.8,
+         "orientation": "h",
+         "text": [
+          0.8114,
+          0.7477,
+          0.8114,
+          0.7712
+         ],
+         "textposition": "auto",
+         "type": "bar",
+         "x": [
+          0.8113667117726657,
+          0.7476658561179713,
+          0.8113667117726657,
+          0.7712414081436942
+         ],
+         "xaxis": "x2",
+         "y": [
+          "Accuracy",
+          "Precision",
+          "Recall",
+          "F1_score"
+         ],
+         "yaxis": "y2"
+        }
+       ],
+       "layout": {
+        "annotations": [
+         {
+          "font": {
+           "size": 16
+          },
+          "showarrow": false,
+          "text": "Confusion Matrix",
+          "x": 0.5,
+          "xanchor": "center",
+          "xref": "paper",
+          "y": 1,
+          "yanchor": "bottom",
+          "yref": "paper"
+         },
+         {
+          "font": {
+           "size": 16
+          },
+          "showarrow": false,
+          "text": "Metrics",
+          "x": 0.5,
+          "xanchor": "center",
+          "xref": "paper",
+          "y": 0.375,
+          "yanchor": "bottom",
+          "yref": "paper"
+         }
+        ],
+        "autosize": true,
+        "height": 800,
+        "paper_bgcolor": "rgba(240,240,240, 0.95)",
+        "plot_bgcolor": "rgba(240,240,240, 0.95)",
+        "showlegend": false,
+        "template": {
+         "data": {
+          "bar": [
+           {
+            "error_x": {
+             "color": "#2a3f5f"
+            },
+            "error_y": {
+             "color": "#2a3f5f"
+            },
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "bar"
+           }
+          ],
+          "barpolar": [
+           {
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "barpolar"
+           }
+          ],
+          "carpet": [
+           {
+            "aaxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "baxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "type": "carpet"
+           }
+          ],
+          "choropleth": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "choropleth"
+           }
+          ],
+          "contour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "contour"
+           }
+          ],
+          "contourcarpet": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "contourcarpet"
+           }
+          ],
+          "heatmap": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmap"
+           }
+          ],
+          "heatmapgl": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmapgl"
+           }
+          ],
+          "histogram": [
+           {
+            "marker": {
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "histogram"
+           }
+          ],
+          "histogram2d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2d"
+           }
+          ],
+          "histogram2dcontour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2dcontour"
+           }
+          ],
+          "mesh3d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "mesh3d"
+           }
+          ],
+          "parcoords": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "parcoords"
+           }
+          ],
+          "pie": [
+           {
+            "automargin": true,
+            "type": "pie"
+           }
+          ],
+          "scatter": [
+           {
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
+            },
+            "type": "scatter"
+           }
+          ],
+          "scatter3d": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter3d"
+           }
+          ],
+          "scattercarpet": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattercarpet"
+           }
+          ],
+          "scattergeo": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergeo"
+           }
+          ],
+          "scattergl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergl"
+           }
+          ],
+          "scattermapbox": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattermapbox"
+           }
+          ],
+          "scatterpolar": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolar"
+           }
+          ],
+          "scatterpolargl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolargl"
+           }
+          ],
+          "scatterternary": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterternary"
+           }
+          ],
+          "surface": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "surface"
+           }
+          ],
+          "table": [
+           {
+            "cells": {
+             "fill": {
+              "color": "#EBF0F8"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "header": {
+             "fill": {
+              "color": "#C8D4E3"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "type": "table"
+           }
+          ]
+         },
+         "layout": {
+          "annotationdefaults": {
+           "arrowcolor": "#2a3f5f",
+           "arrowhead": 0,
+           "arrowwidth": 1
+          },
+          "autotypenumbers": "strict",
+          "coloraxis": {
+           "colorbar": {
+            "outlinewidth": 0,
+            "ticks": ""
+           }
+          },
+          "colorscale": {
+           "diverging": [
+            [
+             0,
+             "#8e0152"
+            ],
+            [
+             0.1,
+             "#c51b7d"
+            ],
+            [
+             0.2,
+             "#de77ae"
+            ],
+            [
+             0.3,
+             "#f1b6da"
+            ],
+            [
+             0.4,
+             "#fde0ef"
+            ],
+            [
+             0.5,
+             "#f7f7f7"
+            ],
+            [
+             0.6,
+             "#e6f5d0"
+            ],
+            [
+             0.7,
+             "#b8e186"
+            ],
+            [
+             0.8,
+             "#7fbc41"
+            ],
+            [
+             0.9,
+             "#4d9221"
+            ],
+            [
+             1,
+             "#276419"
+            ]
+           ],
+           "sequential": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ],
+           "sequentialminus": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ]
+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "title": {
+         "font": {
+          "size": 14
+         },
+         "text": "<b>Model performance report</b><br>ExtraTreesClassifier()"
+        },
+        "width": 800,
+        "xaxis": {
+         "anchor": "y",
+         "domain": [
+          0,
+          1
+         ]
+        },
+        "xaxis2": {
+         "anchor": "y2",
+         "domain": [
+          0,
+          1
+         ]
+        },
+        "yaxis": {
+         "anchor": "x",
+         "domain": [
+          0.625,
+          1
+         ]
+        },
+        "yaxis2": {
+         "anchor": "x2",
+         "domain": [
+          0,
+          0.375
+         ]
+        }
+       }
+      },
+      "text/html": [
+       "<div>                            <div id=\"0f37ed2e-0142-445c-b899-2c0dc5a56b61\" class=\"plotly-graph-div\" style=\"height:800px; width:800px;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"0f37ed2e-0142-445c-b899-2c0dc5a56b61\")) {                    Plotly.newPlot(                        \"0f37ed2e-0142-445c-b899-2c0dc5a56b61\",                        [{\"colorscale\":[[0.0,\"#440154\"],[0.1111111111111111,\"#482878\"],[0.2222222222222222,\"#3e4989\"],[0.3333333333333333,\"#31688e\"],[0.4444444444444444,\"#26828e\"],[0.5555555555555556,\"#1f9e89\"],[0.6666666666666666,\"#35b779\"],[0.7777777777777778,\"#6ece58\"],[0.8888888888888888,\"#b5de2b\"],[1.0,\"#fde725\"]],\"showscale\":false,\"x\":[\"0 (pred)\",\"1 (pred)\",\"2 (pred)\"],\"xaxis\":\"x\",\"xgap\":2,\"y\":[\"0 (true)\",\"1 (true)\",\"2 (true)\"],\"yaxis\":\"y\",\"ygap\":2,\"z\":[[0,2,50],[1,59,492],[0,152,2939]],\"type\":\"heatmap\"},{\"marker\":{\"color\":[\"gold\",\"lightgreen\",\"lightcoral\",\"lightskyblue\"],\"line\":{\"color\":\"#000000\",\"width\":1.5}},\"opacity\":0.8,\"orientation\":\"h\",\"text\":[0.8114,0.7477,0.8114,0.7712],\"textposition\":\"auto\",\"x\":[0.8113667117726657,0.7476658561179713,0.8113667117726657,0.7712414081436942],\"xaxis\":\"x2\",\"y\":[\"Accuracy\",\"Precision\",\"Recall\",\"F1_score\"],\"yaxis\":\"y2\",\"type\":\"bar\"}],                        {\"annotations\":[{\"font\":{\"size\":16},\"showarrow\":false,\"text\":\"Confusion Matrix\",\"x\":0.5,\"xanchor\":\"center\",\"xref\":\"paper\",\"y\":1.0,\"yanchor\":\"bottom\",\"yref\":\"paper\"},{\"font\":{\"size\":16},\"showarrow\":false,\"text\":\"Metrics\",\"x\":0.5,\"xanchor\":\"center\",\"xref\":\"paper\",\"y\":0.375,\"yanchor\":\"bottom\",\"yref\":\"paper\"}],\"autosize\":true,\"height\":800,\"paper_bgcolor\":\"rgba(240,240,240, 0.95)\",\"plot_bgcolor\":\"rgba(240,240,240, 0.95)\",\"showlegend\":false,\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"title\":{\"font\":{\"size\":14},\"text\":\"<b>Model performance report</b><br>ExtraTreesClassifier()\"},\"width\":800,\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0]},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.625,1.0]},\"xaxis2\":{\"anchor\":\"y2\",\"domain\":[0.0,1.0]},\"yaxis2\":{\"anchor\":\"x2\",\"domain\":[0.0,0.375]}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('0f37ed2e-0142-445c-b899-2c0dc5a56b61');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "model_performance(extree, y_test, y_pred)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# <span style=\"font-family:cursive;text-align:center\">🛠️ Hyperparameter Tuning</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 3 folds for each of 32 candidates, totalling 96 fits\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "({'ccp_alpha': 0.0,\n",
+       "  'criterion': 'gini',\n",
+       "  'max_depth': 11,\n",
+       "  'min_samples_split': 2,\n",
+       "  'n_estimators': 200},\n",
+       " 0.8648423868625552)"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gkf = KFold(n_splits=3, shuffle=True, random_state=42).split(X=X_train, y=y_train)\\\n",
+    "\n",
+    "# A parameter grid for ETrees\n",
+    "params = {\n",
+    "    'n_estimators': range(100, 500, 100), # [100,200,300,400,500]\n",
+    "    'ccp_alpha': [0.0, 0.1],\n",
+    "    'criterion': ['gini'],\n",
+    "    'max_depth': [5,11],\n",
+    "    'min_samples_split': [2,3]\n",
+    "}\n",
+    "\n",
+    "extree_estimator = ExtraTreesClassifier()\n",
+    "\n",
+    "gsearch = GridSearchCV(\n",
+    "    estimator=extree_estimator,\n",
+    "    param_grid=params,\n",
+    "    scoring='f1_weighted',\n",
+    "    n_jobs=-1,\n",
+    "    cv=gkf,\n",
+    "    verbose=1\n",
+    ")\n",
+    "\n",
+    "extree_model = gsearch.fit(X=X_train, y=y_train)\n",
+    "(gsearch.best_params_,gsearch.best_score_)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-success\" style=\"font-size:14px; font-family:verdana; line-height: 1.7em;\">\n",
+    "   <b><u>Parameters:</u></b>\n",
+    "  'ccp_alpha':<span style=\"color:red\">0.0</span>,\n",
+    "  'criterion': <span style=\"color:red\">'gini'</span>,\n",
+    "  'max_depth': <span style=\"color:red\">11</span>,\n",
+    "  'min_samples_split': <span style=\"color:red\">2</span>,\n",
+    "  'n_estimators': <span style=\"color:red\">400</span>\n",
+    "<br>\n",
+    "<b><u>Best Score: </u></b><span style=\"color:red\">0.86</span><br>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 3 folds for each of 8 candidates, totalling 24 fits\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "({'class_weight': None, 'max_depth': 15, 'min_samples_split': 2},\n",
+       " 0.9169827995191903)"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gkf2 = KFold(n_splits=3, shuffle=True, random_state=101).split(X=X_train, y=y_train)\n",
+    "\n",
+    "params2 = {\n",
+    "    'max_depth': [11,15],\n",
+    "    'min_samples_split': [2,3],\n",
+    "    'class_weight': ['balances', None]\n",
+    "}\n",
+    "\n",
+    "extree2 = ExtraTreesClassifier(ccp_alpha=0.0,\n",
+    "                               criterion='gini',\n",
+    "                               max_depth=11,\n",
+    "                               min_samples_split=3)\n",
+    "\n",
+    "gsearch2 = GridSearchCV(\n",
+    "    estimator=extree2,\n",
+    "    param_grid=params2,\n",
+    "    scoring='f1_weighted',\n",
+    "    n_jobs=-1,\n",
+    "    cv=gkf2,\n",
+    "    verbose=3\n",
+    ")\n",
+    "\n",
+    "extree_models2 = gsearch2.fit(X=X_train, y=y_train)\n",
+    "\n",
+    "(gsearch2.best_params_, gsearch2.best_score_)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-success\" style=\"font-size:14px; font-family:verdana; line-height: 1.7em;\">\n",
+    "   <b><u>Parameters:</u></b>\n",
+    "  'class_weight':<span style=\"color:red\">balanced</span>,\n",
+    "  'max_depth': <span style=\"color:red\">15</span>,\n",
+    "  'min_samples_split': <span style=\"color:red\">2</span>,\n",
+    "<br>\n",
+    "<b><u>Best Score: </u></b><span style=\"color:red\">0.92</span><br>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>ExtraTreesClassifier(class_weight=&#x27;balanced&#x27;, max_depth=15, n_estimators=400)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">ExtraTreesClassifier</label><div class=\"sk-toggleable__content\"><pre>ExtraTreesClassifier(class_weight=&#x27;balanced&#x27;, max_depth=15, n_estimators=400)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "ExtraTreesClassifier(class_weight='balanced', max_depth=15, n_estimators=400)"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "extree_tuned = ExtraTreesClassifier(ccp_alpha=0.0,\n",
+    "                                    criterion='gini',\n",
+    "                                    min_samples_split=2,\n",
+    "                                    class_weight='balanced',\n",
+    "                                    max_depth=15,\n",
+    "                                    n_estimators=400)\n",
+    "\n",
+    "extree_tuned.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.0592213  0.06049554 0.01589189 0.0299902  0.04572745 0.0366532\n",
+      " 0.01926502 0.03381176 0.0275697  0.03668642 0.01421405 0.04620509\n",
+      " 0.01159608 0.04385542 0.06120422 0.01776735 0.03328262 0.06824892\n",
+      " 0.06292729 0.02140601 0.0289838  0.0305959  0.02781941 0.02330698\n",
+      " 0.01025545 0.04090987 0.04127589 0.05083319]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(extree_tuned.feature_importances_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feat_importances = pd.Series(extree_tuned.feature_importances_, index=X.columns)\n",
+    "plt.figure(figsize=(12,12))\n",
+    "myexplode = [0.12,0,0,0,0,0,0,0,0,0]\n",
+    "plt.pie(feat_importances.nlargest(10),labels=feat_importances.nlargest(10).index, autopct='%.0f%%',explode= myexplode,\n",
+    "        textprops={'fontsize': 16})\n",
+    "centre_circle = plt.Circle((0,0),0.10,fc='white')\n",
+    "fig = plt.gcf()\n",
+    "fig.gca().add_artist(centre_circle)\n",
+    "plt.title('Important features considered by Extra Trees Classifier',fontsize=20)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}